avature
Databricks engineer contractor
Deloitte
Remote, USA
Contract
Senior · 3+ years experience
Remote
USD 65-75 hourly / hour
Discovered Yesterday
PySparkPythonAmerican National Standards Institute Structured Query Language (ANSI SQL)GitGitHubDatabricks
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PySparkPythonAmerican National Standards Institute Structured Query Language (ANSI SQL)
Role Overview
We are seeking a Databricks Engineer Contractor to support data engineering initiatives in the healthcare domain. This role focuses on building and supporting scalable data solutions that enable platform modernization and ongoing operational support. The contractor will develop, optimize, and maintain data pipelines and data products using Databricks and Azure-based tools. Experience with healthcare and pharmacy data environments will support success in this assignment.
Key Skills for This Role
PySparkPythonAmerican National Standards Institute Structured Query Language (ANSI SQL)GitGitHubDatabricks
Full Job Posting
Position Summary
We are seeking a Databricks Engineer Contractor to support data engineering initiatives in the healthcare domain. This role focuses on building and supporting scalable data solutions that enable platform modernization and ongoing operational support. The contractor will develop, optimize, and maintain data pipelines and data products using Databricks and Azure-based tools. Experience with healthcare and pharmacy data environments will support success in this assignment.
Work you'll do
The service you will provide the Deloitte project team as a Database Engineer Contractor will include:
Build relational database solutions based on project requirements.
Develop and maintain extract, transform, load (ETL) pipelines for warehouse and lakehouse environments.
Improve database and pipeline performance for efficient processing and retrieval.
Apply security controls and validation checks to protect data integrity and confidentiality.
Support data modeling, integration, and production data quality activities.
Required
3+ years using Azure Data Factory to build and schedule extract, transform, load (ETL) or extract, load, transform (ELT) pipelines.
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