Data Engineer (Azure/Databricks)

Location: Fully remote, but applicants must reside and perform all work within the continental United States. Production monitoring coverage runs from 7:00 a.m. to 8:00 p.m. Eastern Time, with participation in a 24/7 on-call escalation process.

Company

hirify.global supports an enterprise cloud-based data and analytics platform for a federal health agency.

What you will do

• Ingest new and migrated data sources using fit-for-purpose engineering patterns.
• Transform ingested data into semantic views, conformed dimensions, and performance-oriented models for analytics, reporting, and machine learning.
• Operate Delta Lake patterns and dedicated pool usage while validating parity between migrated and source data models.
• Implement data quality, freshness, anomaly detection, equivalence, and parity checks as part of the definition of done.
• Instrument pipelines for monitoring, alerting, triage, rollback, and hot-fix workflows.
• Configure federated query tooling, provision data infrastructure, document architecture decisions, and monitor performance and cost KPIs.

Requirements

• Required experience with Azure Data Factory, Databricks, and Kafka.
• Experience with Databricks Unity Catalog for governance, security, lineage, and data and AI asset management.
• Familiarity with Collibra, Immuta, or comparable enterprise data catalog and policy-based access-control tooling.
• Expertise in data ingestion, data engineering, data quality, ETL, and related technical disciplines.
• Must be authorized to work in the United States and able to obtain and maintain a federal Public Trust Tier 2 / Moderate Risk background investigation.

Nice to have

• Direct experience working in a federal agency environment.

Culture & Benefits

• Fully remote work within the continental United States.
• Participation in production monitoring and a 24/7 urgent-issue escalation process.
• Employment is contingent upon contract award and client approval.