Databricks Engineer Contractor

Contractor

Remote

Work you'll do

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.
• 6+ years using PySpark for distributed data processing and transformation.
• 3+ years using Python for scripting, pipeline development, and data validation.
• 6+ years writing American National Standards Institute Structured Query Language (ANSI SQL) for joins, transformations, aggregations, and query tuning.
• 6+ years using Git and GitHub for version control and pull request workflows.
• 3+ years using Databricks and Delta Lake to build and maintain lakehouse pipelines.
• 3+ years building data models for warehouse or lakehouse environments.

• 3+ years using Apache Kafka for streaming or event-driven ingestion.
• 1+ years using Prefect for workflow orchestration.
• 1+ years using GitHub Actions or Azure Pipelines for continuous integration and continuous deployment (CI/CD).
• 1+ years working with Medallion Architecture.
• 1+ years applying data quality, schema validation, and data governance controls in production pipelines.

Candidates interested in applying for this opportunity must be geographically based in the United States and must be legally authorized to work in the United States without the need for employer sponsorship.

We do not accept agency resumes and are not responsible for any fees related to unsolicited resumes.

Deloitte is not the employer for this role.

This work is contracted through a third-party whose employees provide services to Deloitte.

#Remote

Expected Work Schedule

Approximate hours per week

About Deloitte

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It makes Deloitte one of the most rewarding places to work.

As used in this posting, “Deloitte” means , a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

Requisition code: 360052