Lead Data Engineer (Databricks)

Location: Remote within the United States, listed as Birmingham, Alabama / Nebraska - Virtual / Work From Home

Salary: $109,500–$167,833 per year, plus potential annual incentive

Company

hirify.global provides insurance and financial protection products designed to help customers manage life’s uncertainties.

What you will do

• Lead end-to-end design and dimensional modeling of data products across Raw, Prep, and Prod lakehouse layers.
• Own ODCS data contracts, including quality rules, freshness expectations, consumer compatibility, and breaking-change communication.
• Set standards for Python, SQL, dbt, testing, repository structure, naming, and CI/CD while reviewing production code.
• Operate and improve pipelines through monitoring, incident response, backfills, performance tuning, cost optimization, and runbook development.
• Partner with product, platform, architecture, governance, DataOps, and MLOps teams on delivery, access, orchestration, and observability.
• Mentor engineers through design reviews, pairing, and code reviews, while improving reusable frameworks and platform adoption.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 6+ years building and operating production data pipelines and consumer-facing data models.
• Strong hands-on Python and SQL skills, with experience making technical design decisions and reviewing code.
• Experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning.
• Deep experience with dimensional modeling, data contracts, production incidents, orchestration, Git, code review, CI/CD, and data observability.
• Ability to communicate trade-offs clearly and provide technical leadership without people-management responsibility.

Nice to have

• Databricks certification, Unity Catalog, dbt at scale, Dagster, Dagster Cloud, or declarative Python ingestion frameworks such as dlt.
• Experience with Great Expectations, Monte Carlo, MLflow, model registries, model serving, Azure, and Azure DevOps.
• Experience with ODCS, data mesh, regulated industries, insurance, financial services, or AI-assisted development.

Culture & Benefits

• Full-time remote work within the stated United States location arrangement.
• Health, dental, and vision insurance, along with mental health benefits and an employee assistance program.
• Paid time off, paid parental leave, short-term disability, and a cultural observance day.
• Healthcare account contributions, a pension plan, and a 401(k) plan with company matching.
• Annual incentive opportunities based on individual and company performance.