OTHER

FEED

UNKNOWN

Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance. Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at <a href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.unissant.com%2F&data=05%7C02%7Clganesh%40unissant.com%7Ccc2efe3d52b949867eec08dceeb4cdcb%7C73cc4f81842a462ca4636bfe0a951750%7C0%7C0%7C638647707549761013%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=40%2BXx%2FH8vjM3wMz7Rm6knWfHno7b90pI2XCzcFlkczU%3D&reserved=0" rel="nofollow" style="color:#000000">www.unissant.com</a>.We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.Essential Duties and Responsibilities:Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.<ul><li>This is a client-facing position working on-site as per the requirements established by the DHS customer.</li><li>Develop, train, and deploy advanced AI/ML and Gen-AI models.</li><li>Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.</li><li>Optimize model performance, ensuring accuracy, efficiency, and scalability.</li><li>Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.</li><li>Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.</li><li>Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.</li><li>Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.</li><li>Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.</li><li>This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.</li></ul>Work Experience and Job Skills:<ul><li>3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.</li><li>Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).</li><li>Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)</li><li>Experience with machine learning and generative AI frameworks.</li><li>Experience with natural language processing techniques (e.g., text classification, language generation).</li><li>Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.</li><li>Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications</li><li>Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).</li><li>Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts.</li><li>An understanding and competency surrounding data storage, accesses, and loading.<ul><li>Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.</li><li>ETL/ELT Concepts</li><li>Data warehouse concepts</li><li>SQL</li></ul></li><li>Competency in data exploration, analytics, and feature engineering. (Python Specific)<ul><li>Pandas / NumPy / Polars / PySpark</li><li>Plotly / Matplotlib (some form of data visualization)</li><li>Data encoding / normalizing / regularizing / etc.</li></ul></li><li>Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.</li><li>Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.</li><li>Proficiency in NLP Tools SpaCy, ThinC, Gensim.</li><li>Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.</li><li>General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.</li><li>Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.</li><li>Adaptability to changing priorities and a willingness to learn and grow are essential.</li><li>Excellent organizational skills, and ability to effectively manage concurrent projects.</li><li>Comprehensive problem-solving skills with exceptional attention to detail.</li><li>Ability to learn, evolve, think creatively and proactively.</li><li>Able to work under pressure (at times) and to be extremely flexible with changing priorities</li><li>Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.</li></ul>Education:<ul><li>Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.</li></ul>Certificates, Licenses and Registrations:<ul><li>This federal program requires the candidates to be a United States Citizen.</li><li>Must have an active DHS clearance.</li><li>Any related systems engineering, or related technical certifications are desired.</li><li>AWS/Azure/GCP AI/ML certifications are preferred but not required.</li></ul>Communication Skills:<ul><li>Must have excellent written and verbal communication skills</li><li>Ability to convey technical information to non-technical individuals.</li><li>Demonstrated experience communicating effectively across internal and external organizations.</li><li>Must work well in a matrixed team environment. ​</li></ul>Travel:<ul><li>On-site in Ashburn, VA</li></ul>Environmental Requirements:<ul><li>Mainly sedentary; in an office environment</li><li>May be required to lift up to ten (10) pounds</li><li>Flexible in working extended hours</li></ul>The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.Please note: Candidate(s) will be required to go through pre-employment screening.Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)  Job Posted by ApplicantPro

Unissant

Artificial Intelligence/ Machine Learning Developer

Amazon Web Services (AWS)

Architectural Services

Artificial Intelligence (AI)

Big Data

C Programming Language

C++ Programming Language

Cloud Computing

Communication Skills

Computer Science

Conversation Engine

Cross-Functional

Customer Relations

Data Analysis

Data Collection

Data Management

Data Sets

Data Storage

Data Visualization

Data Warehousing

Database Extract Transform and Load (ETL)

Database Technology

Deep Learning

Detail Oriented

Emerging Technology

Engineering

Forecasting

GCP (Good Clinical Practices)

Government Requirements

High Tech Industry

Homeland Security

Information Technology & Information Systems

Information/Data Security (InfoSec)

Java

Machine Learning

Maintain Compliance

Management of Information Systems/Technology (MIS)

Microsoft Windows Azure

Modeling Languages

Natural Language Processing (NLP)

NoSQL

Organizational Skills

Performance Modeling

Performance Tuning/Optimization

PostgreSQL

Presentation/Verbal Skills

Privacy Controls

Problem Solving Skills

Programming Languages

Project/Program Management

Python Programming/Scripting Language

R Programming Language

Regulations

Reinforcement Learning

Research Skills

SQL (Structured Query Language)

Software Engineering

Systems Engineering

Team Player

United States Citizen

Writing Skills

Talent Acquisition

The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets. Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers.

Unissant delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at <a href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.unissant.com%2F&data=05%7C02%7Cgchidambaram%40unissant.com%7C251765cf96114a3d162108dce7d39d39%7C73cc4f81842a462ca4636bfe0a951750%7C0%7C0%7C638640143280891019%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=qvpjL%2BCa%2BgW%2Fyj96pJFXmRCIiE4GHwyOdv1yj9XpXiI%3D&reserved=0" rel="nofollow" style="color:#000000">www.unissant.com</a>.We are seeking a AIData Scientist to join our team and support our federal customer.This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets.Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers.Essential Duties and Responsibilities:Advanced Analytics Solutions:<ul><li>Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges.</li><li>Build scalable solutions for predictive modeling, optimization, and decision support.</li><li>Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies.</li><li>Communicate findings effectively to both technical and non-technical audiences.</li><li>Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data.</li><li>Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact.</li></ul>Data Visualization:<ul><li>Design and produce compelling data visualizations and interactive dashboards.</li><li>Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences.</li><li>Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow.</li></ul>Collaboration:<ul><li>Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners.</li><li>Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers</li><li>Engage with stakeholders to understand their needs and tailor visualizations accordingly.</li></ul>Work Experience and Job Skills:<ul><li>Minimum 5+ years of experience in Data Science.</li><li>Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction.</li><li>Experience with Large and Small Language models, Vision models, Prompt and Context engineering.</li><li>Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP).</li><li>Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost).</li><li>Strong foundation in statistical methods, hypothesis testing, and experimental design.</li><li>Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js.</li><li>Strong analytical skills with the ability to analyze complex data and produce actionable insights.</li><li>Experience with AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight, Glue, and S3</li><li>Proficiency in Python and/or R for data analysis and ML development.</li><li>Proficiency in SQL for data extraction and manipulation.</li></ul>Education:<ul><li>Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred</li></ul>Certificates, Licenses and Registrations:<ul><li>This federal program requires the candidates to be a United States Citizen.</li></ul><ul><li style="line-height:normal">Must have a current CBP BI clearance or be eligible to obtain one.</li></ul>Communications Skills:<ul><li>Excellent communication skills, both written and verbal.</li><li>Solid ability to interface, inspire and motivate at various levels of the organization.</li><li>Ability to convey technical information to non-technical individuals.</li><li>Demonstrated experience communicating effectively across internal and external organizations.</li></ul>Travel:<ul><li>This is an on-site position in Ashburn, VA</li></ul>Environmental Requirements:<ul><li>Mainly sedentary; in an office environment.</li><li>May be required to lift up to ten (10) pounds</li><li>Flexible in working extended hours</li><li>Eastern Standard Time work hours, aligned with client workday</li></ul>The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.Please note: Candidate(s) will be required to go through pre-employment screening. Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) Job Posted by ApplicantPro

AI Data Scientist

Algorithms

Amazon Simple Storage Service (S3)

Analysis Skills

Best Practices

Business Intelligence

Customer Support/Service

Data Science

Data Visualization Tools

Decision Support

Electronic Medical Records

Experiment Design

Federal Government

Government

Interpersonal Skills

JavaScript

Mathematics

Needs Assessment

Power BI

Predictive Modeling

Qlik

Reporting Dashboards

Scalable System Development

Statistical Modeling

Statistics

Tableau

Testing

FULL_TIME

YEAR

This role will be instrumental in shaping data strategy, enabling data-driven decision-making, and supporting the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations. Enterprise Data Architecture & EngineeringDesign and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem technologies (e.g., Spark, Iceberg).

Anika Systems is seeking a highly skilled Data Architect to lead the design and implementation of enterprise data architectures supporting federal clients. This role will be instrumental in shaping data strategy, enabling data-driven decision-making, and supporting the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations. The ideal candidate brings deep expertise in enterprise data modeling, cloud-based data platforms, metadata management, and data governance, along with hands-on experience applying AI/ML, Knowledge Graphs, and semantic technologies to modern data ecosystems. This role requires a forward-thinking architect who embraces AI-driven development workflows and can integrate emerging techniques such as GraphRAG into enterprise data platforms. This opportunity is 100% remote.  Key Responsibilities Enterprise Data Architecture & Engineering<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Design and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem technologies (e.g., Spark, Iceberg). </li><li style="margin-bottom:11px">Architect modern AI-enabled data platforms, including support for machine learning, LLM integration, and retrieval-augmented generation (RAG) patterns. </li><li style="margin-bottom:11px">Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs). </li><li style="margin-bottom:11px">Architect modern data lakehouse and data warehouse solutions using Apache Iceberg and cloud-native services. </li><li style="margin-bottom:11px">Define and enforce standards for data integration, data quality, and data lifecycle management. </li><li style="margin-bottom:11px">Design and implement Knowledge Graph architectures, integrating structured and unstructured data sources. </li></ul>AI, Knowledge Graphs & Semantic Architecture<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Design and implement Knowledge Graphs and semantic data layers using ontologies, taxonomies, and linked data principles. </li><li style="margin-bottom:11px">Apply GraphRAG architectures to enhance LLM-based applications with context-aware, explainable data retrieval. </li><li style="margin-bottom:11px">Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics. </li><li style="margin-bottom:11px">Integrate AI/ML and generative AI capabilities into enterprise data ecosystems, including vector databases and embedding pipelines. </li><li style="margin-bottom:11px">Leverage AI-assisted development tools (e.g., code generation, data pipeline automation, metadata enrichment) to improve delivery speed and quality. </li><li style="margin-bottom:11px">Ensure alignment between data architecture and AI governance, including model transparency, traceability, and responsible AI practices. </li></ul>Metadata, Data Catalog, and Data Management<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Establish and manage enterprise metadata frameworks, including data dictionaries, business glossaries, and technical metadata repositories. </li><li style="margin-bottom:11px">Support implementation or optimization of Enterprise Data Resource Management Systems (EDRMS) and data catalog tools (e.g., Collibra, ServiceNow, or similar platforms). </li><li style="margin-bottom:11px">Ensure referential integrity and traceability between data assets, metadata, ontologies, and enterprise data initiatives. </li><li style="margin-bottom:11px">Design systems that enable data lineage, observability, and quality monitoring, including AI-generated metadata and lineage tracking. </li></ul>Stakeholder Engagement & Data Governance<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise. </li><li style="margin-bottom:11px">Collaborate with stakeholders to identify data challenges, AI use cases, and opportunities for advanced analytics and automation. </li><li style="margin-bottom:11px">Support the development and maintenance of data governance frameworks, policies, and standards, including AI and semantic governance. </li><li style="margin-bottom:11px">Maintain and prioritize a data initiatives backlog, ensuring alignment with mission needs and stakeholder priorities. </li></ul>Agile Delivery & Continuous Improvement<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Work within Agile frameworks to iteratively deliver data architecture and AI-enabled solutions. </li><li style="margin-bottom:11px">Support analysis of alternatives (AoA) for data and AI tools/platforms, providing recommendations based on cost, capability, and mission fit. </li><li style="margin-bottom:11px">Track and report on data strategy progress, maturity improvements, and program outcomes. </li><li style="margin-bottom:11px">Continuously refine data architecture based on stakeholder feedback, emerging AI capabilities, and evolving organizational needs.</li></ul>Required Qualifications<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field or comparable experience. </li><li style="margin-bottom:11px">8+ years of experience in data architecture, data engineering, or enterprise data management. </li><li style="margin-bottom:11px">Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms. </li><li style="margin-bottom:11px">Hands-on experience with: <ul style="list-style-type:circle"><li style="margin-bottom:11px">AWS data services (e.g., S3, Glue, Redshift, Lake Formation) </li><li style="margin-bottom:11px">Apache technologies (e.g., Spark, Iceberg, Hive) </li><li style="margin-bottom:11px">Relational databases </li></ul></li><li style="margin-bottom:11px">Strong expertise in data modeling and ERD development. </li><li style="margin-bottom:11px">Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models. </li><li style="margin-bottom:11px">Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns). </li><li style="margin-bottom:11px">Experience implementing metadata management, data cataloging, and data governance solutions. </li><li style="margin-bottom:11px">Demonstrated experience supporting federal data strategy initiatives or OCDO organizations. </li><li style="margin-bottom:11px">Strong understanding of data quality, lineage, observability, and AI data readiness frameworks. </li><li style="margin-bottom:11px">Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools). </li><li style="margin-bottom:11px">Ability to communicate complex technical concepts to non-technical stakeholders. </li><li style="margin-bottom:11px">U.S. Citizenship required; ability to obtain and maintain a federal clearance. </li></ul>Preferred Qualifications<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Experience supporting agencies such as SEC, DHS, Treasury, or Federal Reserve System. </li><li style="margin-bottom:11px">Familiarity with Evidence Act, Federal Data Strategy, and CDO Council guidance. </li><li style="margin-bottom:11px">Experience with Collibra, Informatica, Alation, or similar data catalog tools. </li><li style="margin-bottom:11px">Experience with graph databases (e.g., Neo4j, Amazon Neptune) and vector databases. </li><li style="margin-bottom:11px">Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI). </li><li style="margin-bottom:11px">AWS certifications or data architecture certifications. </li><li style="margin-bottom:11px">Experience implementing RAG or GraphRAG solutions in production environments. </li><li style="margin-bottom:11px">Familiarity with semantic web standards (RDF, OWL, SPARQL). </li></ul>Powered by JazzHR

Anika Systems

Data Architect

Agile Programming Methodologies

Apache

Apiary/Beekeeping

Automation

Borland ObjectWindows Library (OWL) Programming Libraries

Campaigns

Cataloguing

Continuous Deployment/Delivery

Continuous Improvement

Data Modeling

Data Quality

DataArchitect Data Modeling Tool

Ecosystems

Electronic Document and Records Management System (EDRMS)

Enterprise Architecture

Entity Relationship Diagram (ERD)

Establish Priorities

Informatica

Interoperability

Leadership

Metadata

Neo4j

Ontology

Production Systems

Programming Tools

Quality Monitoring

RDF (Resource Description Framework)

Relational Databases (RDBMS)

Resource Management

SPARQL

Securities and Exchange Commission (SEC)

ServiceNow

Standards Development

Strategic Planning

Structured Data

Taxonomies

Traceability

Treasury

Unstructured Data

Use Cases

partner JazzHR

The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations. This opportunity is 100% remote.  The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms. Key Responsibilities Data Pipeline Development & ETL/ELT<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms. </li><li style="margin-bottom:11px">Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets. </li><li style="margin-bottom:11px">Implement data transformation logic to support analytics, reporting, and regulatory use cases. </li><li style="margin-bottom:11px">Ensure data pipelines are reliable, performant, and scalable in cloud environments. </li><li style="margin-bottom:11px">Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization. </li></ul>Cloud Data Platforms & Iceberg Architecture<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift). </li><li style="margin-bottom:11px">Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes. </li><li style="margin-bottom:11px">Support lakehouse architectures that unify data lakes and data warehouses. </li><li style="margin-bottom:11px">Optimize data storage and retrieval strategies for performance and cost efficiency. </li><li style="margin-bottom:11px">Enable data platforms that support AI/ML workloads and downstream generative AI use cases. </li></ul>CI/CD & DataOps Engineering<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services. </li><li style="margin-bottom:11px">Automate build, test, and deployment processes for ETL pipelines and data platform components. </li><li style="margin-bottom:11px">Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies. </li><li style="margin-bottom:11px">Ensure reproducibility, reliability, and governance of data pipeline deployments across environments. </li><li style="margin-bottom:11px">Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk. </li></ul>Data Optimization & Performance Engineering<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Design and implement materialized views and other performance optimization techniques to improve query efficiency. </li><li style="margin-bottom:11px">Tune data pipelines and queries for performance, scalability, and cost. </li><li style="margin-bottom:11px">Implement partitioning, indexing, and caching strategies aligned to workload patterns. </li></ul>XBRL & Financial Data Processing<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data. </li><li style="margin-bottom:11px">Support regulatory and financial data use cases requiring high accuracy and traceability. </li><li style="margin-bottom:11px">Ensure alignment with data standards and validation rules for financial reporting datasets. </li></ul>Context Engineering & Data Modeling Support<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context. </li><li style="margin-bottom:11px">Collaborate with Data Architects to support data modeling, schema design, and entity relationships. </li><li style="margin-bottom:11px">Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance. </li></ul>Metadata, Data Catalog, and Governance Integration<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Integrate pipelines with enterprise data catalogs and metadata management systems. </li><li style="margin-bottom:11px">Support automated metadata capture, lineage tracking, and data quality monitoring. </li><li style="margin-bottom:11px">Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability. </li></ul>Stakeholder Collaboration & Agile Delivery<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions. </li><li style="margin-bottom:11px">Participate in stakeholder listening campaigns, workshops, and data discovery efforts. </li><li style="margin-bottom:11px">Work in Agile teams to iteratively deliver data capabilities and enhancements. </li><li style="margin-bottom:11px">Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle. </li></ul>Required Qualifications<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. </li><li style="margin-bottom:11px">5+ years of experience in data engineering, ETL development, or data platform engineering. </li><li style="margin-bottom:11px">Strong hands-on experience with: <ul style="list-style-type:circle"><li style="margin-bottom:11px">ETL/ELT tools and frameworks </li><li style="margin-bottom:11px">AWS data services (S3, Glue, Lambda, Redshift, etc.) </li><li style="margin-bottom:11px">Apache Iceberg and modern data lake architectures </li></ul></li><li style="margin-bottom:11px">Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows. </li><li style="margin-bottom:11px">Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools). </li><li style="margin-bottom:11px">Experience processing XBRL or complex financial/regulatory datasets. </li><li style="margin-bottom:11px">Proficiency in SQL and Python. </li><li style="margin-bottom:11px">Experience implementing materialized views and query optimization techniques. </li><li style="margin-bottom:11px">Understanding of data modeling concepts and metadata management. </li><li style="margin-bottom:11px">Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases. </li><li style="margin-bottom:11px">Ability to work in Agile, DevOps-oriented environments. </li><li style="margin-bottom:11px">U.S. Citizenship required; ability to obtain and maintain a federal clearance.</li></ul>Preferred Qualifications<ul style="margin-bottom:11px"><li style="margin-bottom:11px">Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System. </li><li style="margin-bottom:11px">Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow). </li><li style="margin-bottom:11px">Experience with Apache Spark, Kafka, or other distributed data processing frameworks. </li><li style="margin-bottom:11px">Experience enabling data pipelines for AI/ML or generative AI applications. </li><li style="margin-bottom:11px">Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI). </li><li style="margin-bottom:11px">Exposure to context engineering or semantic data layer design. </li><li style="margin-bottom:11px">AWS or data engineering certifications. </li><li style="margin-bottom:11px">Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines. </li></ul>Powered by JazzHR

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