Data Operations Engineer (Healthcare Data)

Location: Remote within the United States; team members in the Nashville, Tennessee area may work from the headquarters office on a hybrid basis.

Company

hirify.global supports community oncologists through a patient-centric, physician-driven, and technology-powered healthcare model.

What you will do

• Monitor daily data ingestion, feeds, pipeline latency, and operational health.
• Triage and resolve data, code, and pipeline errors, including incidents handled through an on-call rotation.
• Analyze root causes, identify inefficiencies, and propose actionable reliability improvements.
• Partner with IT, development, technical delivery teams, vendors, and other stakeholders on milestones, challenges, and outcomes.
• Create plans to educate stakeholders and mitigate recurring problems.
• Independently assess, prioritize, and manage issues through resolution in an agile environment.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent work experience; high school diploma or GED.
• At least 2 years of experience using SQL.
• At least 1 year of professional experience using Python.
• At least 2 years of professional experience with databases or data tools.
• Understanding of object-oriented code, instrumentation, logging, and alerting best practices.
• Strong troubleshooting, organizational, communication, attention-to-detail, and independent problem-solving skills.

Nice to have

• Experience with Databricks, Spark, and Delta tables.
• Experience with lakehouse and medallion architectures.
• Experience with data integration and ETL tools such as Azure Data Factory.
• Experience with healthcare data or regulated data environments.

Culture & Benefits

• Full-time remote work is available throughout the United States.
• Hybrid office work is available for team members based in the Nashville, Tennessee area.
• Work in an agile environment with independent ownership and cross-functional collaboration.
• Participate in an on-call rotation for data and pipeline incidents.