Senior Data Engineer (Databricks)

TL;DR

Senior Data Engineer (Databricks): Building and operating governed data products on a Delta Lakehouse to power analytics and AI/ML initiatives with an accent on Kimball dimensional modeling and pipeline scalability. Focus on leading technical delivery, coordinating with offshore engineering partners, and ensuring data quality and governance across the platform.

Location: Must be based in the US

Company

hirify.global is an education technology company providing support and expertise to over 100 universities to help grow workforce-focused online degree programs.

What you will do

• Design and own scalable data pipelines and dimensional models on Databricks using PySpark and SQL.
• Ingest data from operational and SaaS sources like Salesforce into the lakehouse.
• Develop and maintain Kimball-style dimensional models as the analytics layer of record.
• Manage data assets, permissions, and lineage within Unity Catalog.
• Coordinate day-to-day work with offshore engineering partners, setting priorities and reviewing deliverables for quality.
• Operationalize machine learning workflows using MLflow and MLOps best practices.

Requirements

• Must be based in the US
• 7+ years of experience in data engineering on big data and cloud platforms.
• 3+ years of hands-on experience with Databricks (Spark/PySpark, Delta Lake).
• Proven delivery of Kimball dimensional models in a modern warehouse or lakehouse.
• Production experience with dbt and Unity Catalog.
• Experience overseeing offshore or vendor engineering resources and reviewing their work.

Nice to have

• Experience with real-time streaming (Kafka, Azure Event Hubs).
• Familiarity with Salesforce data models.
• Experience with cost governance in Databricks environments.
• Exposure to BI tools like Power BI or Tableau.

Culture & Benefits

• Opportunity to work on high-impact educational technology products.
• Focus on engineering standards, code review practices, and documentation.
• Support for a diverse and inclusive workforce.
• Collaborative environment working with cross-functional data architects and analysts.