Data Engineer (Python/Spark)

Location: Remote within the continental United States; periodic travel may be required. Candidates must be U.S. Citizens with an active DoW Secret or higher clearance.

Company

hirify.global delivers mission-critical technology and data modernization solutions for government customers.

What you will do

• Design, develop, and maintain production-ready data pipelines using Spark, Python, SQL, and Databricks.
• Integrate and transform health, financial, and operational datasets into reusable data products.
• Develop data models and analytics datasets for enterprise reporting and operational decision-making.
• Build and maintain REST API integrations for data ingestion and exchange across systems.
• Monitor, troubleshoot, and optimize scheduled workflows and production pipelines for performance, reliability, and scalability.
• Implement data validation, quality, lineage, governance, automated testing, documentation, and reusable engineering patterns while collaborating with engineers, architects, analysts, and customer stakeholders.

Requirements

• 3+ years of data engineering, software engineering, or related technical experience.
• U.S. Citizenship and an active DoW Secret or higher clearance.
• Strong proficiency with Python and SQL.
• Experience with Apache Spark or similar distributed data-processing frameworks and Databricks or a similar modern data platform.
• Experience building and maintaining production data pipelines and ETL/ELT processes.
• Working knowledge of data modeling and transforming raw data into reusable analytics datasets or data products.
• Experience integrating or consuming data through REST APIs and troubleshooting and optimizing pipelines for performance and reliability.
• Familiarity with data validation, quality, governance, security, privacy, and compliance considerations.
• Experience with Git-based development workflows, modern software engineering practices, terminal and command-line environments, and AI-assisted development tools.
• Strong communication skills, experience working with customers or stakeholders, and the ability to navigate ambiguity, learn unfamiliar systems, and independently drive assigned work toward resolution.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field is preferred.

Nice to have

• AWS cloud experience.
• Experience with very large datasets, including datasets containing billions of records.
• Experience with Palantir Foundry.
• Experience with Advana or similar DoW data environments.
• Experience with GitLab, CI/CD pipelines, or automated deployment workflows.
• Experience with federal health, financial, or other regulated and sensitive data.

Culture & Benefits

• Flexible PTO and all federal holidays off.
• Health, dental, and vision insurance; FSA; 401(k) with employer match; life insurance; and short- and long-term disability coverage.
• Professional development through training, certifications, and conferences.
• Paid cloud developer accounts and referral bonuses.
• Annual social events, including hirify.global Week, a hackathon, and a charity golf tournament.
• HQ office perks, including parking or metro reimbursement, lunches, and access to Washington Capitals and Nationals tickets.