Provident IT Partners

Databricks Data & AI Engineer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
May 3, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - 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 – 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€’ Bachelor’s or Master’s 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