Data Engineer

Convergenz

Aberdeen Proving Groung, MD

JOB DETAILS
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Intelligence, Business Intelligence Software, Business Processes, Calendar Management, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer Relations, Customer Satisfaction, Customer Support/Service, Customer/Client Research, Data Analysis, Data Management, Data Mining, Data Modeling, Data Quality, Data Science, Data Sets, Data Storage, Data Visualization, Data Warehousing, Database Design, Database Extract Transform and Load (ETL), Database Programming, Database Technology, Debugging Skills, Detail Oriented, DevOps, Distributed Computing, DoD Clearance, Docker, Documentation, Engineering Software, Git, Machine Learning, Meeting Minutes, Microservices, NoSQL, Operational Improvement, Operational Strategy, Performance Analysis, Power BI, Predictive Modeling, Problem Solving Skills, Programming Languages, Progress Reports, Python Programming/Scripting Language, Quality Assurance, Quality Management, Quality Metrics, R Programming Language, Relational Databases (RDBMS), Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Sales Management, Sales Pipeline, Security Clearance, Source Code/Configuration Management (SCM), Stored Procedures, Systems Scalability, Tableau, Team Player, Testing, Time Management, United States Citizen
LOCATION
Aberdeen Proving Groung, MD
POSTED
5 days ago
What You Will Do:
Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.  
  • Conduct ETL/ELT and data quality analysis using various technologies (i.e., Python, Databricks, Palantir Foundry).
  • Manage ETL/ELT functions and develop, build, test, and maintain scalable data pipeline architectures and tools.
  • Develop integrated data pipelines and models to measure program performance and report on progress
  • Work in cloud-based databases and ETL/ELT architecture.
  • Design and build distributed systems for scalability and security.
  • Work with data integration and management tools and databases.
  • Gather requirements, design, implement, and test database systems.
  • Coordinate with non-technical users to gather requirements.
  • Provide and prepare data to enable data science and machine learning. 
  • Demonstrate strong understanding of relational databases, columnar data warehouses, data lakes, NoSQL, and other storage types. 
  • Develop intuitive, attractive, and interactive data visualizations using large data sets to create dashboards, using tools such as Tableau and Power BI, for a diverse set of users with varying technical capabilities.
  • Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.
  • Develop and maintain data governance documentation, tools, and templates.
  • Work with Palantir Foundry and Databricks.
  • Maintain good working relationships with clients to enhance customer satisfaction and work with client management and staff to perform engagement services.
  • Ensure data governance and quality assurance standards are met.
  • Organize and lead client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items.
  • Summarize and present information and reports to the team and make recommendations (both oral and written).

What You Will Need:
  • US Citizenship is required.
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor's degree obtained
  • 4+ years of experience in a data or IT discipline.
  • 2+ years of experience in data engineering.
  • Experience designing and developing databases with Structured Query Language (SQL) and performing complex queries.
  • Experience developing complex data pipelines and extract – transform – load (ETL) processes.
  • Experience moving and manipulating data of different types and file types using Python.
  • Demonstrated ability to perform data quality management and integration to ensure accurate and usable datasets using querying or data engineering software tools, such as SQL, Python, R, etc.

What Would Be Nice to Have:
  • Master’s degree in computer science or related field.
  • Strong understanding of different types of data storage.
  • Experience working with system and application logs.
  • Experience working in cloud-based databases and architecture.
  • Experience using business intelligence tools Tableau and/or Power BI to visualize large data sets.
  • Proficiency in querying and joining acquisition, programming and transactional datasets.
  • Proficiency in programming languages such as Python.
  • Proficiency developing dashboards using Tableau or Power BI.
  • Familiarity with DevOps and container technologies (Docker/Kubernetes).
  • Ability to implement basic automation and CI/CD.
  • Experience with micro services architecture and API gateways.
  • Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
  • Experience with source code version control technologies such as Git.
  • Ability to code and debug stored procedures.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

About the Company

C

Convergenz

"An Opportunity to Help"

It started on day one. Convergenz, LLC began in July 2000, at what was fast evolving into the “Dot Com bust” and a rapid rise in unemployment. Our own customers were getting laid off en masse and sending us their resumes, desperate for work. Despite the recession that followed, little by little, we were able to successfully help find people opportunities; and as a company survive this difficult time in our economy. Over ten years later, our mission of connecting people with jobs has never seemed more important.

By the nature of the Staffing Industry, Convergenz is in a unique position to help, and positively affect peoples’ lives. For over a decade we have been able to assist professionals through historically turbulent times in the American economy. From the Dot-Com bubble, through the post 9/11 wave of layoffs, and the “Great Recession” of 2008—we have been able to offer help and resources to people who have needed access to new career opportunities. Whether it was making a major career change, or simply needing to be placed on a contract assignment to get through “right now”—we hope that we are able to help our consultants and clients through these times of uncertainty.

When we think of what sets us apart from our competition, we immediately come back to the fact that we have big company success but do it with a small company touch. Hands on, no red-tape, responsive to peoples’ needs, inquiries, and requests. In other words—Provide Great Service All the Time. When we founded Convergenz, we set out to build a firm that we would want to work for. Be a successful business – but do it the right way, in the boardroom and in the community.

Every day is an exercise in self-reflection —we look to get better, to learn, and grow. We set out to make a positive difference every day, and take pride in the results.
COMPANY SIZE
500 to 999 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2000
WEBSITE
https://conv.com/