Data Engineer

Location: 100% remote; U.S. citizenship required

Company

hirify.global is a technology solutions firm delivering AI, data intelligence, automation, enterprise platforms, and engineering services for federal agencies, with a focus on national security and federal financial programs.

What you will do

• Design, build, and maintain scalable ETL/ELT pipelines using PySpark and Python in Databricks.
• Develop optimized SQL queries, data models, schemas, partitioning strategies, and performance improvements for large datasets.
• Automate ingestion from APIs, flat files, relational databases, and streaming sources.
• Monitor pipeline health, resolve data quality issues, and implement logging and alerting.
• Perform exploratory analysis and deliver dashboards, reports, visualizations, written findings, and briefings.
• Collaborate with data scientists, program analysts, IT engineers, architects, and federal agency stakeholders in Agile delivery workflows.

Requirements

• Bachelor’s degree in a relevant technical field.
• 3+ years of experience in data engineering, data analytics, or a related discipline.
• Experience supporting federal government programs or agency data environments.
• Strong SQL skills, including complex joins, window functions, CTEs, and performance tuning.
• Hands-on experience with PySpark, Python, Databricks, notebooks, jobs, clusters, and Unity Catalog.
• U.S. citizenship and the ability to obtain and maintain a government suitability clearance are required.

Nice to have

• Databricks certification for Apache Spark or data engineering.
• Experience with AWS GovCloud, Microsoft Azure Government, or Google Cloud for Government.
• Knowledge of CI/CD for data pipelines using Azure DevOps or GitHub Actions.
• Experience with Tableau or Power BI connected to Databricks SQL endpoints.

Culture & Benefits

• 100% remote work arrangement.
• Collaborative work with federal stakeholders and multidisciplinary technical teams.
• Participation in Agile sprint ceremonies, backlog grooming, peer review, and audit-ready documentation.