Data Engineer (Data Quality & Automation)

Analytica is seeking aData Engineerwith experience inautomated data quality validation and CI/CD-enabled data pipelinesto support a longterm federal government program. The ideal candidate will be responsible for designing developing and maintaining reliable data pipelines while embedding data quality validation and automation practices directly into the data engineering lifecycle.

This role supports enterprise data platforms and products within aDevSecOpsframework and works closely with data engineers analytics engineers architects and other stakeholders to ensure data solutions arescalable reliable and productionready.

Analytica has been recognized byInc. Magazineas a fastestgrowing private U.S. small business. We work with U.S. government customers in health civilian and national security missions and offer competitive compensation with opportunities for bonuses employerpaid health care training and development funds and 401(k) match.

Responsibilities include (but not limited to):

• Design develop and maintain ETL/ELT data pipelines supporting enterprise data platforms.
• Implement and enhance data ingestion transformation and integration processes using SQL and modern programming languages.
• Design and implementautomated data quality and validation checks(e.g. schema integrity completeness freshness volume).
• Embed data validation and testing logic directly into data pipelines and CI/CD workflows.
• Refactor and modernize existing data pipelines to improve reliability performance and maintainability.
• Collaborate with technical leads architects and engineering teams to define and promote standard data engineering and quality practices.
• Support deployment monitoring and troubleshooting of data pipelines across development test and production environments.
• Contribute to technical documentation runbooks and reusable components to improve team efficiency and consistency.
• Participate in design and code reviews with a focus on sustainability automation and operational excellence.

RequiredQualifications:

• Bachelors degree in Computer Science Engineering Information Technology or a related field or equivalent experience.
• Experience supporting data pipelines in a DevOps orDevSecOpsenvironment.
• 5 years of experience in data engineering ETL development or related roles.
• Strong experience withMicrosoftSQLServer and enterprise data warehouse or data lake platforms.
• Proficiency in Python or similar scripting languages for automation.
• Handson experience building and supporting ETL/ELT pipelines.
• Experience implementingautomated data validation or data quality checkswithin data pipelines.
• Familiarity with CI/CD concepts and tools as applied to data engineering workflows.
• Strong analytical and problemsolving skills.
• Excellent written and verbal communication skills.
• Must be a U.S. Citizen with the ability to obtain a secret clearance.

Preferred Qualifications:

• Experience working in cloud environments (AWS Azure or GCP).
• Experience supporting analytics reporting or data mart solutions.
• Experience supporting data modelingsolutions (i.e. Kimball).
• Prior experience supporting Defense Health Agency - DHA and Military Health Services - MHS data programs.
• Current active secret clearance