Deloitte

Databricks Engineer Contractor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Engineer Contractor focused on healthcare data engineering. Contract length is unspecified, with a pay rate of $65-$75/hour. Key skills include Azure Data Factory, PySpark, and Databricks. Remote work; U.S.-based candidates only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
July 22, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Data Quality #Delta Lake #Python #GitHub #Data Integrity #Deployment #Scripting #Scala #Data Processing #Spark (Apache Spark) #Data Pipeline #Azure #Security #"ETL (Extract #Transform #Load)" #Apache Kafka #GIT #Databricks #Azure Data Factory #ADF (Azure Data Factory) #Version Control #Data Modeling #SQL (Structured Query Language) #Data Engineering #PySpark #Continuous Deployment #Kafka (Apache Kafka) #Data Governance
Role description
Position Summary 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: β€’ Build relational database solutions based on project requirements. β€’ Develop and maintain extract, transform, load (ETL) pipelines for warehouse and lakehouse environments. β€’ Improve database and pipeline performance for efficient processing and retrieval. β€’ Apply security controls and validation checks to protect data integrity and confidentiality. β€’ Support data modeling, integration, and production data quality activities. Qualifications Required: β€’ 3+ years using Azure Data Factory to build and schedule extract, transform, load (ETL) or extract, load, transform (ELT) pipelines. β€’ 6+ years using PySpark for distributed data processing and transformation. β€’ 3+ years using Python for scripting, pipeline development, and data validation. β€’ 6+ years writing American National Standards Institute Structured Query Language (ANSI SQL) for joins, transformations, aggregations, and query tuning. β€’ 6+ years using Git and GitHub for version control and pull request workflows. β€’ 3+ years using Databricks and Delta Lake to build and maintain lakehouse pipelines. β€’ 3+ years building data models for warehouse or lakehouse environments. Preferred β€’ 3+ years using Apache Kafka for streaming or event-driven ingestion. β€’ 1+ years using Prefect for workflow orchestration. β€’ 1+ years using GitHub Actions or Azure Pipelines for continuous integration and continuous deployment (CI/CD). β€’ 1+ years working with Medallion Architecture. β€’ 1+ years applying data quality, schema validation, and data governance controls in production pipelines. The expected pay range for this contract assignment is $65 - $75 per hour.β€― The exact pay rate will vary based on skills, experience, and location and will be determined by the third-party whose employees provide services to Deloitte. 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, β€œDeloitte” 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