Senior Data Engineer

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Assist government clients by designing, constructing, and enhancing scalable cloud-based solutions and data pipelines.

• Establish connections to various knowledge and data sources.

• Aid in the modernization of legacy systems and their transition to modern infrastructure.

• Collect requirements, document business rules, and grasp business objectives.

• Configure and maintain connections from analytic tools to Databricks, repositories, platforms, and APIs.

• Manage and oversee the population and administration of the Databricks Unity Catalog.

• Define and document technical and coding standards.

• Create secure, scalable, and cost-effective data solutions.

• Design, build, and sustain ETL/ELT pipelines utilizing AWS and Databricks.

• Develop conceptual and physical data models for analytics, reporting, and operational purposes.

• Implement frameworks for data quality, validation, monitoring, alerting, and automated recovery.

• Perform advanced data analysis using Python and SQL.

• Create data models, data dictionaries, and guides for data usage.

• Enhance the performance of end-to-end data workflows.

• Construct and manage GitHub CI/CD pipelines for automated testing, deployments, and continuous integration.

• Deliver high-quality work within established timelines.

• Collaborate with cross-functional teams in an Agile environment to provide iterative value.

⛳️ Requirements

• Must be a U.S. Citizen or authorized to work in the United States.

• Must have resided in the U.S. for a minimum of three of the past five years.

• Must be eligible to obtain a federal government client badge.

• Must successfully pass a government background investigation.

• Bachelor's degree and at least 10 years of professional experience, including a minimum of 4 years in designing, developing, and implementing BI, data management, analytics, or similar enterprise IT solutions.

• Four years of specialized experience may replace the requirement for a bachelor's degree.

• Proficiency in data engineering, data integration, and the development of enterprise data platforms.

• Practical experience in designing and implementing scalable data pipelines, data warehouses, data lakes, and cloud-based data solutions.

• Advanced skills in SQL and Python.

• Strong familiarity with AWS cloud services and Databricks.

• Experience with artificial intelligence, machine learning, or generative AI technologies is highly preferred.

• Demonstrated experience using GitHub for source control, branching, code reviews, versioning, and collaborative software development.

• Knowledge of ETL/ELT frameworks, data modeling, data governance, data integration patterns, relational and non-relational databases, and enterprise data warehousing.

• Experience with object-oriented programming, design patterns, code quality, testing, documentation, and developing maintainable solutions.

• Familiarity with DevOps methodologies and CI/CD pipelines.

• Strong analytical, problem-solving, and communication abilities.

• Excellent skills in both written and verbal communication.

• Working knowledge of Agile frameworks and Scrum methodologies.

• Experience with CMS enterprise repositories, including the Integrated Data Repository (IDR), is preferred.

• Previous experience supporting federal government agencies, healthcare programs, or large-scale public sector data environments is preferred.

🏝️ Benefits

• Opportunities to reach your potential.

• Join a community of great minds with national impact.