Databricks Lakehouse Data Engineer: Build Pipelines

iMPact Business Group

Grand Rapids (MI)

On-site

USD 110,000 - 160,000

Full time

4 days ago

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Job summary

Impact Business Group is seeking a Databricks Data Engineer to build and optimize production data pipelines within the Databricks Lakehouse architecture. You will implement bronze, silver, and gold layers, ensuring data quality and lineage across ERP/CRM sources.

The role requires hands-on experience with Delta Lake, PySpark, and Databricks Workflows, plus knowledge of Unity Catalog and Azure data services. You will collaborate closely with the Data Engineering & Platform team.

Qualifications

3 years data engineering experience, incl. 2+ years with production Databricks pipelines.
Experience implementing bronze/silver/gold with Delta Lake.
Strong SQL, Python, PySpark; able to orchestrate pipelines.
Knowledge of Unity Catalog and Azure data services.
Bachelor's degree or equivalent.

Responsibilities

Build and improve production data pipelines in Databricks across bronze, silver, and gold layers.
Land raw data in bronze, validate and standardize in silver, publish curated models in gold.
Review notebooks, pipelines, and data models built by partners.
Trace dependencies, fix gaps, and document operation and troubleshooting steps.
Monitor job failures and data freshness; add automated checks.