Data Engineer (AWS/PySpark)

Location: On-site full-time at hirify.global's New York City office; initial onboarding of approximately two weeks at the Arlington, VA office, followed by occasional travel to Arlington. U.S. citizenship and eligibility to obtain a U.S. Government security clearance are required.

Salary: $192,000–$281,000 base; estimated total compensation of $281,000–$455,000.

Company

hirify.global develops software for offensive cyber operations supporting the United States and its allies.

What you will do

• Design and build AWS Glue data pipelines in PySpark to retrieve, parse, transform, and load new data sources.
• Investigate unfamiliar source systems, define schemas and analytical data models, and integrate data into applications using ClickHouse and PostgreSQL.
• Deploy, operate, and package integrations for office-accessible and restricted environments.
• Monitor pipeline health, data quality, throughput, and freshness using the LGTM observability stack, dashboards, and alerts.
• Diagnose production incidents, perform root cause analysis, and improve runbooks, fixes, and upstream designs.
• Work with forward deployed engineers to support field deployments and turn operational feedback into platform capabilities.

Requirements

• 5+ years of experience in data engineering or software engineering with substantial data infrastructure work.
• Expert Python skills and experience maintaining production-grade codebases.
• Hands-on experience building and operating ETL/ELT pipelines with Spark, preferably AWS Glue jobs using PySpark.
• Strong SQL and schema design skills, including partitioning and indexing decisions, plus experience with column-oriented analytical databases.
• Experience debugging production data systems, tracing failures, and resolving incidents under time pressure.
• Ability to work on-site full-time in New York City; U.S. citizenship and eligibility to obtain a U.S. Government security clearance are required.

Nice to have

• Experience with data lakes, large-scale query technologies, streaming systems, or message queues.
• Experience with observability tooling such as Grafana, Datadog, or Splunk.
• Experience operating software in air-gapped, classified, or restricted environments.
• Familiarity with Docker, container orchestration, and CI/CD.

Culture & Benefits

• Hands-on ownership of production systems used by cyber operations teams.
• Work on data integrations for restricted and classified environments with strong testing, documentation, and operational discipline.
• Medical, dental, and vision plan options, plus life, disability, HSA, and FSA options.
• Paid parental leave, paid holidays, and flexible PTO.
• 401(k) with pre-tax and Roth options, plus dependent care FSA.