Senior Databricks Data Engineer - Cloud Platform Specialist

The Heritage Group

Indianapolis (IN)

On-site

USD 110,000 - 165,000

Full time

14 days+
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Job summary

Heritage Construction + Materials in Indianapolis seeks a Senior Data Engineer to design and maintain data pipelines on a cloud data platform, with Databricks and Delta Lake. You will optimize cluster performance, ensure data reliability, and support governance through Unity Catalog.

The role requires 5+ years in data engineering, Python/PySpark, SQL, and cloud experience (Azure preferred); knowledge of Databricks or Snowflake is essential.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 5+ years of experience in data engineering or a related field.
  • Experience with Python/PySpark/SQL/Scala.
  • Hands-on experience with cloud environments (Azure preferred) and Databricks or Snowflake.
  • Experience with workflow orchestration and CI/CD pipelines.

Responsibilities

  • Develop and support data pipelines within a Cloud Data Platform (Databricks/Snowflake).
  • Monitor and optimize Databricks cluster performance for cost-effective scaling.
  • Automate CI/CD pipelines for data workflows using Azure DevOps.
  • Integrate Databricks with Azure services (Data Factory, Synapse, ADLS).
  • Design monitoring solutions and support data governance through Unity Catalog.

Skills

Python/PySpark
SQL
Databricks
Delta Lake
Azure
Azure Data Factory
Azure Synapse
ADLS
Data governance

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

Databricks
Snowflake
Azure DevOps
Azure Data Factory
Azure Synapse
ADLS

Job description

Heritage Construction + Materials in Indianapolis seeks a Senior Data Engineer to design and maintain data pipelines on a cloud data platform, with Databricks and Delta Lake. You will optimize cluster performance, ensure data reliability, and support governance through Unity Catalog.

The role requires 5+ years in data engineering, Python/PySpark, SQL, and cloud experience (Azure preferred); knowledge of Databricks or Snowflake is essential.

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