Job Title: Data Engineer US Citizen Required (Remote)

Job Details:

Grit Government Solutions is seeking an experienced Data Engineer to join our customer’s team. This program is a mission-driven effort supporting our customers’ Healthcare and Insurance Program Office. The team is building and maintaining a modern, secure, data-driven platform to streamline how our customer collects, integrates, and manages health benefits data for millions of federal employees, retirees, and their families. This work includes developing intuitive front-end features, integrating with complex backend systems and APIs, and automating key processes to improve efficiency and accuracy. Team members will collaborate in an agile environment, shaping a platform that is scalable, accessible, and critical to the federal benefits system.

Responsibilities:

· Design, develop, and maintain data pipelines and transformations to support a secure and scalable data platform.

· Build and optimize ETL processes leveraging Databricks and Azure cloud services.

· Automate database maintenance tasks across on-premise and cloud environments to improve efficiency and reduce manual workloads.

· Integrate and manage relational and cloud-based databases, ensuring high quality, accurate data.

· Migrate legacy systems and algorithms from on-premise solutions to cloud-based platforms while minimizing disruption to production.

· Develop maintainable, testable code in Python and SQL/PLSQL aligned with technical standards.

· Collaborate closely with cross-functional teams in an agile environment, actively participating in sprint planning, reviews, and retrospectives.

· Support performance tuning, troubleshooting, and debugging across the full data stack.

· Contribute to documentation, automated tests, and peer code reviews to ensure quality and reliability

Experience

· Must be US Citizen and already possess or have the ability to obtain a Public Trust

· Bachelor’s Degree Required

· 5+ years of IT experience and Minimum 3 years of ETL - Tech stack: Databricks, Azure, Python

· Proficiency in Python for data processing, transformation, and automation.

· Hands-on experience with Databricks for building and managing data workflows

· Azure cloud expertise, particularly for data engineering and ETL pipelines.

· Experience with AI/ML workflows, including model development, fine-tuning, and deployment

· Hands-on experience with ML Flow for managing machine learning pipelines and experiments

· Strong background in Oracle SQL/PLSQL, including complex packages, procedures, and data migration scripts.

· Solid understanding of relational database concepts, query optimization, and cloud-based data storage solutions.

· Experience with data integration and ETL processes.

· Strong collaboration skills and experience working within agile teams.

· Familiarity with Git, including advanced operations like rebasing, squashing, and cherry-picking.

· Knowledge of medical or healthcare data systems, including handling sensitive data such as medical records and understanding privacy regulations (e.g., HIPAA), is a plus.

Job Type: Full-time

Pay: $124,800.00 per year

Work Location: Remote

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