Data Engineer
Core
Design, build, and optimize cloud-native data solutions and pipelines for government clients, modernizing data ecosystems and enabling analytics.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Cloud data platforms, data pipelines, data models, and integration frameworks
Domain
Government services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud data architecture, Data pipeline design, PostgreSQL, Python, SQL, AWS (Grafana, Quicksight, Bedrock), Apache Airflow, DevOps practices, Data modeling, Data governance, Observability, Agile delivery
Preferred skills
SAFe Agile Certification, Healthcare IT experience, CMS regulatory knowledge, Fraud detection/anomaly detection, Data Lake/Warehouse architecture
Technologies
PostgreSQL, Python, SQL, AWS (Grafana, Quicksight, Bedrock, Infrastructure), Apache Airflow, GitHub
Responsibilities
Design and implement scalable data ingestion, transformation, and consumption patterns; Establish data engineering standards and reusable design patterns; Develop and optimize data models for analytics and reporting; Ensure compliance with security, privacy, and regulatory requirements; Collaborate with stakeholders to deliver high-quality data products; Perform advanced data analysis and profiling using SQL and Python.
Seniority
Senior, hands-on IC