Sira Consulting
Azure Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Azure Databricks Data Engineer" based in Denver, CO, on a 6-month contract. Requires 6-10 years of data engineering experience, expertise in Azure Databricks and Delta Lake, and leadership skills in an onsite-offshore model.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#Azure Databricks #ADF (Azure Data Factory) #Batch #Synapse #GIT #Data Processing #Spark SQL #Security #Spark (Apache Spark) #Data Engineering #Azure #Databricks #Azure Data Factory #Delta Lake #Code Reviews #Data Quality #"ETL (Extract #Transform #Load)" #Data Security #Data Access #PySpark #Data Ingestion #SQL (Structured Query Language)
Role description
We are currently looking for candidates based in Colorado, USA. Applicants from nearby states are also encouraged to apply
Job Title: Azure Databricks Data Engineer
Location: FULLY ONSITE- Denver, CO- ONLY
Job Type: Contract
Duration: 6 Months
Descriptions:
Technical Onsite Lead
• Act as the onsite lead for Azure Databricks data engineering initiatives.
• Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices.
• Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components.
• Ensure alignment between offshore execution and onsite architecture, security, and business requirements.
• Proactively identify risks, gaps, and improvement opportunities across the data platform.
• Prior experience working in a hybrid onsite–offshore delivery model
Technical Responsibilities
• Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.
• Implement batch data ingestion and transformations using PySpark and Spark SQL.
• Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.
• Ensure data quality, reliability, lineage, and governance across the data platform.
• Collaborate with security and platform teams to enforce data access controls and best practices.
• Experience on CI/CD pipelines using Git for Databricks "
"Required Skills & Experience
• 6-10 years of hands on experience in data engineering.
• Strong, proven expertise in Azure Databricks and Delta Lake.
• Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.
• Demonstrated experience leading, mentoring, or supervising data engineering teams.
• Strong experience performing code reviews and solution design validations.
• knowledge of data security, and access management (RBAC).
• Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory. "
Skills: Digital : Databricks~Digital : PySpark~Azure Data Factory~PL/SQL
We are currently looking for candidates based in Colorado, USA. Applicants from nearby states are also encouraged to apply
Job Title: Azure Databricks Data Engineer
Location: FULLY ONSITE- Denver, CO- ONLY
Job Type: Contract
Duration: 6 Months
Descriptions:
Technical Onsite Lead
• Act as the onsite lead for Azure Databricks data engineering initiatives.
• Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices.
• Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components.
• Ensure alignment between offshore execution and onsite architecture, security, and business requirements.
• Proactively identify risks, gaps, and improvement opportunities across the data platform.
• Prior experience working in a hybrid onsite–offshore delivery model
Technical Responsibilities
• Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.
• Implement batch data ingestion and transformations using PySpark and Spark SQL.
• Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.
• Ensure data quality, reliability, lineage, and governance across the data platform.
• Collaborate with security and platform teams to enforce data access controls and best practices.
• Experience on CI/CD pipelines using Git for Databricks "
"Required Skills & Experience
• 6-10 years of hands on experience in data engineering.
• Strong, proven expertise in Azure Databricks and Delta Lake.
• Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.
• Demonstrated experience leading, mentoring, or supervising data engineering teams.
• Strong experience performing code reviews and solution design validations.
• knowledge of data security, and access management (RBAC).
• Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory. "
Skills: Digital : Databricks~Digital : PySpark~Azure Data Factory~PL/SQL
