Senior Data Engineer role supporting a federal fraud control modernization effort through redesigned and optimized data pipelines and workflows.

Engineer, transform, and manage large datasets from diverse sources with data integrity, reliability, and consistency
Design, optimize, and maintain complex SQL queries for ETL across distributed databases
Develop and automate ETL pipelines using Apache Airflow for high availability and resilience
Write modular, well-documented Python for data processing, feature engineering, and workflow orchestration
Implement data validation, cleansing, and quality checks throughout the pipeline lifecycle
Apply software engineering best practices including version control, code reviews, logging, monitoring, and error handling
Collaborate with data scientists to optimize model pipelines for performance, maintainability, and scalability
Prepare and maintain technical documentation such as data dictionaries, model specs, workflow guides, and architectural artifacts
Support Agile cycles by contributing to documentation and refinement of model workflows and data processes
Participate in deployment activities, perform testing and validation, and complete post-implementation reviews

Ability to obtain and maintain an Agency Public Trust clearance
Bachelor’s degree and 7+ years of relevant experience
Expertise in SQL and ETL workflows with experience in distributed database technologies: Redshift, Snowflake, BigQuery
Experience with Apache Airflow or similar orchestration frameworks
Strong Python skills, especially pandas and NumPy, plus automation libraries
Hands-on experience building data quality checks and validation frameworks
Familiarity with GitHub, Bitbucket, or similar version control tools
Knowledge of logging

Experience supporting federal agencies, especially in fraud or anomaly detection
Familiarity with cloud platforms: AWS, Azure, GCP
Exposure to containerization tools: Docker, Kubernetes
Exposure to CI/CD, DevOps practices, and infrastructure as code
Knowledge of data governance, PII handling, and federal security standards
Experience with model documentation, feature tracking, and model lifecycle management

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well being programs

Location: Baltimore, MD (onsite). Schedule: On site 5 days a week in Woodlawn, MD.

Compensation: USD 89,600 - 198,400 per yearly.

Data Engineer

Job Description