Data Engineer
$120,000–$120,000 year
On-site · Plymouth, Michigan, United States
Job Summary
Data Engineer responsible for building scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based sources to deliver trusted, analytics-ready data products including curated datasets and feature-ready tables. Productionize Databricks solutions (workflows, Unity Catalog, Delta tables, SQL Warehouses) with strong reliability. Implement automated data quality, validation, and secure access patterns across pipelines. Optimize performance and cost while modernizing legacy data flows into cloud-native architectures. Partner with business, IT, and data teams to deliver high-impact, data-driven solutions.
Required Qualifications
- Degree in Computer Science, Data Engineering, or related field (or equivalent experience)
- Proven experience building and running production data pipelines and data products
- Strong Python, PySpark, Spark SQL, and SQL skills
- Hands-on experience with Databricks (Delta Lake, Unity Catalog, Jobs/workflows, SQL Warehouses)
- Familiarity with cloud data platforms (Azure preferred; ADLS, Blob, Key Vault, RBAC or similar)
- Experience with data testing, validation, and quality frameworks
- Strong collaboration and communication skills
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