Data ingestion and acquisition from APIs, RDBMS, files, and streams
Build scalable ETL/ELT pipelines
Cloud deployment on AWS or Azure using Lambda, Glue, Step Functions, Data Factory
Database architecture optimization across PostgreSQL, MySQL, Redshift, BigQuery, ElasticSearch
Streaming data processing with Kafka
Workflow orchestration with Airflow

🎯 Requirements

Active TS/SCI clearance
10+ years in data engineering or software development
Bachelor's or master's in CS, Engineering, or related field
Python proficiency including pandas and PySpark (FastAPI or similar)
Cloud experience with AWS or Azure and cloud-native tools
Kafka and Airflow experience

🎁 Benefits

Competitive compensation package
M9 Benefits: https://m9solutions.com/why-join-m9/#our-benefits
Work with federal government clients
Growth and learning opportunities

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