

Provident IT Partners
Databricks Data & AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data & AI Engineer, contract (long-term) or full-time, starting June 9, 2026, in Houston, TX. Requires 8+ years in digital and AI solutions, experience in trading, and skills in SQL, Python, and Databricks.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
May 3, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Houston, TX
-
π§ - Skills detailed
#Cloud #Scala #Python #Automation #Agile #Kanban #Langchain #Data Engineering #Scrum #Power Automate #Data Security #Computer Science #SQL (Structured Query Language) #Azure #Databricks #Scripting #AI (Artificial Intelligence) #Compliance #Data Automation #Security
Role description
Actively Interviewing!
Provident IT Partners is an IT Staffing firm dedicated to serving clients with their essential technology resource needs. We have a client seeking a Databricks Data & AI Engineer (contract or full-time). This person is an embedded technology specialist working directly within Trading & Supply teams to accelerate delivery of digital, automation, and AI solutions.
The role focuses on the following:
β’ Identifying and delivering high impact digital and AI opportunities close to the business
β’ Translating business problems into scalable, production ready solutions
β’ Raising decision making speed, reducing manual effort, and improving quality and control
β’ Bridging business demand with IT delivery, architecture, and governance
Details:
Start Date: June 9, 2026
Location: Houston, TX
Work type: Onsite β 3 days/week
Status: Contract (long-term) or Full-time
Rate: W2 and TBD (No C2C)
Job Responsibilities:
A. Digital & AI Solution Delivery (Mandatory)
β’ Design, build, and deliver digital, automation, and AI solutions from idea to production
β’ Develop POCs, prototypes, and production grade solutions aligned to target architecture
β’ Apply the right level of engineering (low code, scripting, data engineering, AI) based on problem complexity
β’ Ensure solutions are secure, supportable, and compliant with risk and governance requirements
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
B. Opportunity Identification & Business Engagement
β’ Work side by side with traders, contract advisors, and operations teams to identify digital opportunities
β’ Observe day to day workflows to spot inefficiencies, risks, and automation potential
β’ Translate business problems into clearly defined digital or AI use cases with measurable value
β’ Act as a trusted partner embedded with the business, not a remote delivery role
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
C. Stakeholder & Governance Engagement
β’ Act as a bridge between business teams, engineers, architects, security, and governance functions
β’ Support risk assessment, compliance, and approval processes for digital and AI solutions
β’ Communicate progress, value, and risks clearly to business and IT stakeholders
β’ Ensure solutions follow company policies on data, security, AI, and regulatory compliance
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
D. Tools & Ways of Working
β’ Experience working in Agile, iterative delivery environments
β’ Hands on experience with some of the following (depth in a subset expected):
o Data & analytics (e.g. SQL, Python, Databricks, cloud platforms-Azure)
o Automation & low code tools (e.g. Power Automate, Power Apps)
o AI / GenAI workflows (assistive AI, document automation, agents)
o AI Foundry, Databricks Mosaic, MS Copilot Studio, Langchain, Langgraph
Qualifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, Data, Information Systems, or related field
β’ Relevant certifications (desirable, not mandatory):
β’ o Cloud, data, automation, or AI certifications
β’ o Agile delivery certifications (Scrum, SAFe, Kanban)
β’ Experience level aligned to 8+ years with strong hands-on delivery exposure
β’ Proven experience working close to business teams in fast paced environments
β’ Experience working in Commodities (or any) Trading domain
Good to have skills:
β’ Experience delivering automation or AI in operational, trading, or contract heavy environments
β’ Strong problem framing and value articulation skills
β’ Upskilling business users on digital tools and ways of working
β’ Exposure to Trading & Supply, Commercial Operations, or similar complex domains
β’ Experience working in embedded, federated, or hub and spoke capability models
β’ Comfortable balancing speed of delivery with safety, risk, and architectural discipline
Actively Interviewing!
Provident IT Partners is an IT Staffing firm dedicated to serving clients with their essential technology resource needs. We have a client seeking a Databricks Data & AI Engineer (contract or full-time). This person is an embedded technology specialist working directly within Trading & Supply teams to accelerate delivery of digital, automation, and AI solutions.
The role focuses on the following:
β’ Identifying and delivering high impact digital and AI opportunities close to the business
β’ Translating business problems into scalable, production ready solutions
β’ Raising decision making speed, reducing manual effort, and improving quality and control
β’ Bridging business demand with IT delivery, architecture, and governance
Details:
Start Date: June 9, 2026
Location: Houston, TX
Work type: Onsite β 3 days/week
Status: Contract (long-term) or Full-time
Rate: W2 and TBD (No C2C)
Job Responsibilities:
A. Digital & AI Solution Delivery (Mandatory)
β’ Design, build, and deliver digital, automation, and AI solutions from idea to production
β’ Develop POCs, prototypes, and production grade solutions aligned to target architecture
β’ Apply the right level of engineering (low code, scripting, data engineering, AI) based on problem complexity
β’ Ensure solutions are secure, supportable, and compliant with risk and governance requirements
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
B. Opportunity Identification & Business Engagement
β’ Work side by side with traders, contract advisors, and operations teams to identify digital opportunities
β’ Observe day to day workflows to spot inefficiencies, risks, and automation potential
β’ Translate business problems into clearly defined digital or AI use cases with measurable value
β’ Act as a trusted partner embedded with the business, not a remote delivery role
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
C. Stakeholder & Governance Engagement
β’ Act as a bridge between business teams, engineers, architects, security, and governance functions
β’ Support risk assessment, compliance, and approval processes for digital and AI solutions
β’ Communicate progress, value, and risks clearly to business and IT stakeholders
β’ Ensure solutions follow company policies on data, security, AI, and regulatory compliance
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
D. Tools & Ways of Working
β’ Experience working in Agile, iterative delivery environments
β’ Hands on experience with some of the following (depth in a subset expected):
o Data & analytics (e.g. SQL, Python, Databricks, cloud platforms-Azure)
o Automation & low code tools (e.g. Power Automate, Power Apps)
o AI / GenAI workflows (assistive AI, document automation, agents)
o AI Foundry, Databricks Mosaic, MS Copilot Studio, Langchain, Langgraph
Qualifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, Data, Information Systems, or related field
β’ Relevant certifications (desirable, not mandatory):
β’ o Cloud, data, automation, or AI certifications
β’ o Agile delivery certifications (Scrum, SAFe, Kanban)
β’ Experience level aligned to 8+ years with strong hands-on delivery exposure
β’ Proven experience working close to business teams in fast paced environments
β’ Experience working in Commodities (or any) Trading domain
Good to have skills:
β’ Experience delivering automation or AI in operational, trading, or contract heavy environments
β’ Strong problem framing and value articulation skills
β’ Upskilling business users on digital tools and ways of working
β’ Exposure to Trading & Supply, Commercial Operations, or similar complex domains
β’ Experience working in embedded, federated, or hub and spoke capability models
β’ Comfortable balancing speed of delivery with safety, risk, and architectural discipline






