Data Engineer

Join a high impact team delivering modern fraud detection data engineering capabilities for a federal agency. In this senior role, you will help redesign and optimize fraud control strategy by building scalable, secure, and flexible data pipelines and workflows that support the iClaim model infrastructure. You will work onsite in Baltimore, MD, partnering with data scientists and federal stakeholders to keep detection data dependable, adaptable, and ready for changing data sources.

Compensation: USD 89,600 - 198,400 per year. Clearance: ability to obtain and maintain an Agency Public Trust clearance. Experience: 7+ years and a Bachelor’s degree.

What you’ll do

• Engineer, transform, and manage large datasets from diverse sources with a focus on 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, emphasizing high availability and resilience.
• Build modular, well documented Python code for data processing, feature engineering, and workflow orchestration.
• Implement comprehensive data validation, cleansing, and quality checks at each stage of the pipeline.
• Use 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.
• Create and maintain technical documentation such as data dictionaries, model specs, workflow guides, and architectural artifacts.
• Support Agile development cycles and contribute to documentation and refinement of model workflows and data processes.
• Participate in deployments, including rigorous testing, validation, and post implementation reviews.

What you bring

• 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, including distributed database technologies such as Redshift, Snowflake, and BigQuery.
• Experience with Apache Airflow (or similar orchestration frameworks).
• Strong Python development skills, especially with pandas and NumPy, plus automation libraries.
• Hands on experience creating data quality checks and validation frameworks.
• Familiarity with GitHub, Bitbucket, or similar version control tools.
• Knowledge of logging.

Nice to have

• Experience supporting federal agencies, particularly in fraud or anomaly detection.
• Familiarity with cloud platforms (AWS, Azure, GCP) and 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.

Benefits

• Competitive compensation
• Comprehensive insurance options
• 401(k) matching contributions and 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: Onsite, Baltimore, MD (5 days a week). Technologies: SQL, ETL, Apache Airflow, Python, pandas, NumPy, Redshift, Snowflake, BigQuery, GitHub, Bitbucket, Agile.