Senior Data Engineer (Databricks)

Location: Remote within the United States, with the listed location as Birmingham, Alabama / Nebraska

Salary: $84,000–$128,667 per year, plus potential annual incentive compensation.

Company

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

What you will do

• Design, build, and operate production data pipelines on an Azure Databricks lakehouse using Python, SQL, Apache Spark, and Delta Lake.
• Implement Bronze, Silver, and Gold data flows, including ingestion from APIs, databases, files, cloud storage, and SaaS platforms.
• Develop trusted dimensional models, slowly changing dimensions, fact and bridge tables, aggregates, serving tables, and reproducible ML feature and training datasets.
• Author Open Data Contract Standard contracts and implement automated data-quality checks for uniqueness, validity, referential integrity, freshness, and business rules.
• Orchestrate and operate data assets with Dagster Cloud, including schedules, sensors, dependencies, backfills, monitoring, and on-call recovery.
• Maintain governance, CI/CD, observability, documentation, and performance optimization across development, branch, and production deployments.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 3+ years of experience building and supporting production data pipelines in a cloud data platform environment.
• Strong hands-on Python and SQL skills, with experience using Databricks or a comparable Spark-based lakehouse and Delta Lake.
• Experience with medallion or multi-layer lakehouse design, incremental loading, state management, dimensional modeling, ELT, and data quality practices.
• Experience with orchestration, Git-based source control, pull requests, automated testing, CI/CD, pipeline monitoring, alerting, and production troubleshooting.
• Must be eligible to work remotely within the United States as indicated by the listed Birmingham, Alabama / Nebraska location.

Nice to have

• Databricks Data Engineer certification or equivalent expertise.
• Experience with Unity Catalog, dbt on Databricks, Python-based Delta Lake modeling, and Type 2 history.
• Experience with dlt, Airbyte, Meltano, Fivetran, or Dagster assets, checks, sensors, schedules, and branch deployments.

Culture & Benefits

• Full-time employee position with health, dental, and vision insurance.
• Paid time off, paid parental leave, short-term disability, and a cultural observance day.
• Mental health benefits and an employee assistance program.
• Pension contributions and a 401(k) plan with company matching.
• Annual incentive opportunities based on individual and company performance.