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Skills
AWS Lambdaunmatched
Amazon Simple Storage Service (S3)unmatched
Analysis Skillsunmatched
Apacheunmatched
Apache Sparkunmatched
Bash Scriptingunmatched
Cisco Unityunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Formatsunmatched
Data Managementunmatched
Data Migrationunmatched
Data Processingunmatched
Database Designunmatched
Database Extract Transform and Load (ETL)unmatched
Dockerunmatched
Feasibility Analysisunmatched
Financeunmatched
Gitunmatched
Industry Standardsunmatched
Information/Data Security (InfoSec)unmatched
Javaunmatched
MySQLunmatched
NoSQLunmatched
Operational Support Systems (OSS)unmatched
Performance Tuning/Optimizationunmatched
PostgreSQLunmatched
Privacy Controlsunmatched
Python Programming/Scripting Languageunmatched
Query Optimizationunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Sensitive Compartmented Information (SCI)unmatched
Software Engineeringunmatched
Team Playerunmatched
Top Secret Clearanceunmatched
Description
Overview
We are seeking a Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience:
What will you do?
· Building end-to-end data pipelines leveraging Python
Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
Containerizing and deploying applications in cloud environments like AWS.
Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads.
Leveraging industry standard tools for code control (Git, IaaC control, etc.)
Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial.
Using Bash scripting for automation and data processing tasks
Integrating Al/ML services and models
· Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
Leverage a background in large-scale data migration or platform modernization efforts
Contribute to data engineering documentation, best practices, and design patterns.
Do you have what it takes?
Active TS/SCI W/ Polygraph required.
Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.