Robert Half
Databricks Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Engineer on a long-term, on-site contract with competitive pay. Key skills include Databricks, Python, and SQL. Candidates should have strong data engineering experience and problem-solving abilities, with a focus on core data engineering tasks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Birmingham, AL
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🧠 - Skills detailed
#Data Pipeline #Databricks #Scala #BI (Business Intelligence) #Data Engineering #Monitoring #SQL (Structured Query Language) #Data Transformations #Python #Data Science #"ETL (Extract #Transform #Load)"
Role description
Our client, an Energy Company, is looking for a strong Databricks Engineer for a long term, on-site contract role. If you are interested in discussing the role, please send the following:
Resume:
Comfort Rate:
Location:
Time to talk:
We are seeking a Data Engineer to support an enterprise analytics platform with an immediate focus on Databricks-based data engineering. This role addresses near-term delivery needs while also supporting longer-term enhancements to analytics tooling, self-service applications, and advanced analytics capabilities.
The ideal candidate will have strong core data engineering skills and be comfortable operating in a growing, evolving analytics environment. While the role may expand over time, the primary near-term focus is data engineering.
Top 3:
1. Databricks
1. Python
1. SQL
· Ability to work independently while collaborating with a small, highly engaged team
· Strong problem-solving and communication skills
Primary Responsibilities (Immediate Focus: 6–12 months)
Core Data Engineering
· Design, build, and maintain data pipelines using Databricks
· Develop and optimize data transformations using Python and SQL
· Support ingestion, processing, and preparation of enterprise data for analytics and reporting
· Collaborate closely with analytics, BI, and business stakeholders to enable scalable, governed data solutions
Note: Data engineering is the most critical and immediate need for this role.
Secondary / Future Responsibilities
Analytics Applications & Platform Tooling
· Contribute to or support development of analytics applications using:
o Databricks Apps
o Power Apps (or similar low-code platforms)
· Enable user-facing experiences that surface analytics, monitoring, or operational insights on top of governed data
· Work may involve integration with APIs, notebooks, or data services
· This work is expected to be incremental and complementary to core data engineering; it is not the primary focus of the role
Advanced Analytics / Data Science (Future State)
· Over time, the role may evolve to support:
o Statistical analysis
o More advanced analytics or data science use cases
· These capabilities are not required on day one
Our client, an Energy Company, is looking for a strong Databricks Engineer for a long term, on-site contract role. If you are interested in discussing the role, please send the following:
Resume:
Comfort Rate:
Location:
Time to talk:
We are seeking a Data Engineer to support an enterprise analytics platform with an immediate focus on Databricks-based data engineering. This role addresses near-term delivery needs while also supporting longer-term enhancements to analytics tooling, self-service applications, and advanced analytics capabilities.
The ideal candidate will have strong core data engineering skills and be comfortable operating in a growing, evolving analytics environment. While the role may expand over time, the primary near-term focus is data engineering.
Top 3:
1. Databricks
1. Python
1. SQL
· Ability to work independently while collaborating with a small, highly engaged team
· Strong problem-solving and communication skills
Primary Responsibilities (Immediate Focus: 6–12 months)
Core Data Engineering
· Design, build, and maintain data pipelines using Databricks
· Develop and optimize data transformations using Python and SQL
· Support ingestion, processing, and preparation of enterprise data for analytics and reporting
· Collaborate closely with analytics, BI, and business stakeholders to enable scalable, governed data solutions
Note: Data engineering is the most critical and immediate need for this role.
Secondary / Future Responsibilities
Analytics Applications & Platform Tooling
· Contribute to or support development of analytics applications using:
o Databricks Apps
o Power Apps (or similar low-code platforms)
· Enable user-facing experiences that surface analytics, monitoring, or operational insights on top of governed data
· Work may involve integration with APIs, notebooks, or data services
· This work is expected to be incremental and complementary to core data engineering; it is not the primary focus of the role
Advanced Analytics / Data Science (Future State)
· Over time, the role may evolve to support:
o Statistical analysis
o More advanced analytics or data science use cases
· These capabilities are not required on day one
