Design, develop, and maintain robust ETL pipelines for data integration across multiple sources.
Refactor existing code and automated processes into Python.
Implement scalable data solutions using Python and cloud-based platforms such as Databricks and Apache Airflow.
Collaborate with data scientists and analysts to ensure seamless data accessibility and usability.
Optimize data architecture and workflows to enhance efficiency, performance, and security.
Troubleshoot data pipeline issues and ensure data integrity across systems.

Requirements

U.S. Citizenship is required
Eligible to obtain and maintain a Government Security Clearance
3+ years of experience in data and automation engineering with a strong focus on Python
3+ years of experience developing, maintaining, and administrating SQL databases
2+ years of experience working with cloud-based data platforms such as Databricks, Apache Airflow, or other AWS services
Experience designing, testing, and deploying robust ETL workflows and integrate with enterprise data systems.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLPythonSQLdata integrationdata architecturedata pipelinesdata automationcloud-based platformsApache AirflowDatabricks

Soft Skills

collaborationtroubleshootingproblem-solvingcommunication

Certifications

Government Security Clearance