Data Engineer
Core
Design, build, and maintain scalable end-to-end data pipelines and transformation workflows for US federal government clients.
Role type
Senior Data Engineer (Cloud & ETL)
Builds
Cloud-native data solutions, unified datasets, and analytics pipelines for defense, national security, and public safety organizations.
Domain
US Federal Government / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Spark, PySpark, AWS Glue, Cloud data warehousing (Redshift, BigQuery, Snowflake), Databricks, Palantir, Data orchestration, Data quality processes
Preferred skills
Docker, Kubernetes, Hadoop, NiFi, ELK stack, Agile/Scrum, Data engineering certifications
Technologies
Databricks, Spark, AWS (S3, Glue, Lambda, Redshift), Google Cloud Dataflow, Azure Data Factory, Amazon Redshift, Google BigQuery, Snowflake, Palantir, ElasticSearch
Responsibilities
Design and maintain scalable data pipelines; Develop data processing and transformation workflows; Integrate diverse data sources (APIs, databases, cloud storage); Implement validation, monitoring, and observability processes; Contribute to data governance, security, and automation initiatives; Leverage AWS services to build and deploy cloud-native data solutions.
Seniority
Mid-to-Senior, hands-on IC
