Senior Data Engineer (Databricks)

Location: Washington, DC, United States

Company

hirify.global is a consulting and information technology solutions provider supporting public-sector health, civilian, and national security missions.

What you will do

• Design, build, maintain, and optimize scalable batch and streaming data pipelines using Databricks and cloud-native services.
• Develop ETL/ELT workflows and Databricks Lakehouse medallion architectures for reporting, analytics, machine learning, and data sharing.
• Establish DataOps processes covering pipeline monitoring, automated testing, deployment, version control, CI/CD, alerting, and incident response.
• Implement data integration, auditability, lineage, metadata management, and data quality controls across structured and unstructured healthcare data.
• Collaborate with architects, data scientists, analysts, security teams, and stakeholders on platform strategy, architecture decisions, and implementation roadmaps.
• Lead technical design reviews, optimize cloud performance and costs, troubleshoot production issues, and mentor junior engineers.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
• 8+ years of data engineering experience, including enterprise-scale data environments, and 3+ years supporting CMS or other federal healthcare programs.
• Expert-level Databricks Lakehouse experience with strong proficiency in Apache Spark, PySpark, SQL, and Python.
• Experience with AWS or Azure cloud data platforms, enterprise data pipelines, orchestration tools, and Git-based CI/CD workflows.
• Knowledge of data quality, observability, lineage, metadata management, monitoring, lakehouse, warehouse, and modern data architecture patterns.
• Experience operating production data platforms in regulated healthcare environments and supporting CMS, Medicare, Medicaid, PHI, PII, and federal security and compliance requirements.

Nice to have

• Databricks Data Engineer Professional or additional Databricks certifications.
• Experience with Delta Lake, Unity Catalog, Collibra, Informatica, or comparable governance platforms.
• Experience with MLOps, AI/ML data pipelines, FedRAMP, or FISMA-compliant environments.
• Prior experience leading technical teams or serving as a technical lead.

Culture & Benefits

• Work supporting public-sector health, civilian, and national security missions.
• Competitive compensation with bonus opportunities.
• Employer-paid healthcare.
• Training and development funds.
• 401(k) match.