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Mid-level generalist Data Engineer role, metro location and recognizable employer increase candidate competition.
Core data engineering skills are highly transferable across industries, lowering background sensitivity.
Explicit 3–5 years requirement plus mandatory Databricks/BigQuery/Python/SQL increases filter strictness.
Design, build, and maintain scalable data pipelines using Databricks and Google BigQuery to support analytics and reporting needs.
Apply and optimize medallion architecture (bronze/silver/gold layers) on Databricks for reliable, well-structured data pipelines.
Troubleshoot data pipeline issues, perform root-cause analysis, and enhance pipeline performance and data model quality.
3–5 years of experience in data engineering or related roles with production data pipeline experience.
Hands-on experience with Databricks platform including medallion architecture and Google BigQuery.
Proficiency in Python, SQL, and Git version control.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Experienced data engineer who owns end-to-end pipeline design and maintenance within modern cloud data environments (Databricks, BigQuery).
Strong technical adaptability, keeping current with emerging features/capabilities like Unity Catalog, Delta Live Tables, and BigQuery optimizations.
Collaborates across teams to deliver dependable data solutions and maintains clean, maintainable codebases with Git.