

DataStaff, Inc.
Azure Databricks Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Engineer on a hybrid contract (1 day onsite) in Raleigh, NC, lasting over 6 months, with a competitive pay rate. Requires 5 years of experience in data engineering, Azure Databricks, and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Azure #Databricks #Data Engineering #Apache Spark #Documentation #Data Science #"ETL (Extract #Transform #Load)" #Data Lake #Data Warehouse #AWS (Amazon Web Services) #Cloud #Spark (Apache Spark) #Azure Service Bus #Batch #Java #Databases #Azure Databricks #Data Analysis #PySpark #Python #Data Architecture #Data Quality #Delta Lake #C# #SQL (Structured Query Language)
Role description
DataStaff, Inc is seeking an Azure Databricks Engineer for a long-term contract opportunity with one of our direct clients located in Raleigh, NC.
• This position is hybrid; 1 day per week will be on-site
Responsibilities:
• Work with existing staff to plan and design ETL pipelines and product solutions using Azure Databricks.
• Create resilient processes to ingest data from a variety of on-prem and cloud transactional databases and APIs.
• Developing business requirements, facilitating change management documentation, and actively collaborating with stakeholders.
• Work closely with a development technical lead and discuss all aspects of the design and planning with the development team.
• Research and engineer repeatable and resilient ETL workflows using Databricks notebooks and Delta Live Tables for both batch and stream processing
• Collaborate with business users to develop data products that align with business domain expectations
• Work with DBAs to ingest data from cloud and on-prem transactional databases
• Contribute to the development of the Data Architecture - Transportation:
• By following practices for keeping sensitive data secure
• By streamlining the development of data products for use by data analysts and data scientists
• By developing and maintaining documentation for data engineering processes
• By ensuring data quality through testing and validation
• By sharing insights and experiences with stakeholders and engineers
Required Skills:
• 5 Years - Excellent interpersonal skills as well as written and communication skills.
• 2 Years - Able to write clean, easy-to-follow Databricks notebook code
• 2 Years - Deep knowledge of data engineering best practices, data warehouses, data lakes, and the Delta Lake architecture
• 2 Years - Good knowledge of Spark and Databricks SQL/PySpark
• 2 Years - Technical experience with Azure Databricks and cloud providers like AWS, Google Cloud, or Azure
• 2 Years - In-depth knowledge of OLTP and OLAP systems, Apache Spark, and streaming products like Azure Service Bus
• 2 Years - Good practical experience with Databricks Delta Live Tables
Desired Skills:
• 7 Years - Knowledge of object-oriented languages like C#, Java, or Python
This opportunity is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.
DataStaff, Inc is seeking an Azure Databricks Engineer for a long-term contract opportunity with one of our direct clients located in Raleigh, NC.
• This position is hybrid; 1 day per week will be on-site
Responsibilities:
• Work with existing staff to plan and design ETL pipelines and product solutions using Azure Databricks.
• Create resilient processes to ingest data from a variety of on-prem and cloud transactional databases and APIs.
• Developing business requirements, facilitating change management documentation, and actively collaborating with stakeholders.
• Work closely with a development technical lead and discuss all aspects of the design and planning with the development team.
• Research and engineer repeatable and resilient ETL workflows using Databricks notebooks and Delta Live Tables for both batch and stream processing
• Collaborate with business users to develop data products that align with business domain expectations
• Work with DBAs to ingest data from cloud and on-prem transactional databases
• Contribute to the development of the Data Architecture - Transportation:
• By following practices for keeping sensitive data secure
• By streamlining the development of data products for use by data analysts and data scientists
• By developing and maintaining documentation for data engineering processes
• By ensuring data quality through testing and validation
• By sharing insights and experiences with stakeholders and engineers
Required Skills:
• 5 Years - Excellent interpersonal skills as well as written and communication skills.
• 2 Years - Able to write clean, easy-to-follow Databricks notebook code
• 2 Years - Deep knowledge of data engineering best practices, data warehouses, data lakes, and the Delta Lake architecture
• 2 Years - Good knowledge of Spark and Databricks SQL/PySpark
• 2 Years - Technical experience with Azure Databricks and cloud providers like AWS, Google Cloud, or Azure
• 2 Years - In-depth knowledge of OLTP and OLAP systems, Apache Spark, and streaming products like Azure Service Bus
• 2 Years - Good practical experience with Databricks Delta Live Tables
Desired Skills:
• 7 Years - Knowledge of object-oriented languages like C#, Java, or Python
This opportunity is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.






