Data Engineer – CMS-HIOS

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

📋 Description

• Design, develop, and sustain scalable data pipelines and ETL/ELT workflows.

• Construct and enhance data models, warehouses, and data lakes for analytical and operational applications.

• Create batch and real-time data processing solutions utilizing contemporary cloud platforms.

• Collaborate with software engineers to integrate data services into applications aimed at customers.

• Ensure the quality, integrity, governance, and observability of data across various platforms.

• Optimize the performance, storage, and query efficiency of databases.

• Implement automated testing, monitoring, and deployment pipelines for data infrastructure.

• Interpret business requirements from product teams and client stakeholders into technical solutions.

• Resolve production issues and enhance system reliability.

• Contribute to architectural decisions and uphold engineering best practices.

• Engage in Agile ceremonies including sprint planning, standups, retrospectives, and backlog refinement.

• Mentor junior engineers and foster a collaborative engineering culture.

⛳️ Requirements

• Over 3 years of professional experience in building and maintaining data pipelines and data platforms.

• Proficiency in developing ETL/ELT processes using Python, SQL, or similar programming languages.

• Experience with both relational and non-relational databases.

• Familiarity with AWS, Azure, or Google Cloud Platform.

• Strong SQL capabilities and experience in optimizing complex queries.

• Background in data modeling and schema design.

• Understanding of distributed data processing frameworks such as Apache Spark.

• Proficient in using Git and CI/CD practices.

• Knowledge of data governance, security, and privacy best practices.

• Excellent communication and collaboration skills.

• Experience working within Agile software development teams.

• Preferred: Experience with AWS data services such as Glue, Athena, Redshift, EMR, Lambda, S3, and Lake Formation.

• Preferred: Familiarity with Apache Airflow or Dagster.

• Preferred: Experience with Kafka or Kinesis.

• Preferred: Knowledge of data warehouses and lakehouse architectures.

• Preferred: Experience with Terraform or CloudFormation.

• Preferred: Experience with federal government programs.

• Preferred: Background in digital services or consulting.

• Preferred: Active Public Trust or the ability to obtain one.

🏝️ Benefits

• Competitive salary.

• Comprehensive medical, dental, and vision insurance.

• 401(k) plan with company matching.

• Generous paid time off and federal holidays.

• Budget for professional development.

• Remote-first work environment.

• Reimbursement for home office expenses.

• Employee assistance program.

• Opportunities to engage in significant public-sector digital transformation initiatives.