Data Integration Engineer
Core
Design, build, and optimize secure, traceable data pipelines and integrations for the migration and modernization of government data.
Role type
Data Integration Engineer
Builds
ETL pipelines, data integrations, and data movement solutions for government clients
Domain
Public sector IT / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Microsoft SQL Server, SSIS, Python/Java/Scala/R, APIs, relational/NoSQL databases, cloud data platforms
Preferred skills
Azure/AWS/GCP certifications, Databricks, Azure Data Factory, Spark, Hadoop, Kafka
Technologies
SQL Server, SSIS, Python, Java, Scala, R, Azure, AWS, GCP, Databricks, Azure Data Factory, Spark, Hadoop, Kafka
Responsibilities
Design and build ETL and data-integration pipelines; Map and transform legacy data into target schemas; Create integrations using APIs and database tools; Implement data-quality checks, validation, monitoring, and security; Tune data movement and storage for performance; Collaborate with data governance personnel and developers
Seniority
Mid-Senior, hands-on IC
