ZipRecruiter

Log In

2

Remote Databricks Jobs in Baytown, TX (NOW HIRING)

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Databricks, or similar AI platforms. · Experience designing orchestration frameworks, agent ...

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... AI, Databricks, or similar technologies. · Understanding of MCP concepts, tool registries ...

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

This is a fully remote position, but candidates will be expected to be in person for initial ... Experience connecting Python applications to modern data platforms like Snowflake or Databricks for ...

All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Baytown, TX

Remote Databricks information

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are popular job titles related to Remote Databricks jobs in Baytown, TX? For Remote Databricks jobs in Baytown, TX, the most frequently searched job titles are:
What cities near Baytown, TX are hiring for Remote Databricks jobs? Cities near Baytown, TX with the most Remote Databricks job openings:
Remote Databricks jobs near you

AI Platform Engineer

Vallen

Houston, TX • On-site, Remote

Full-time

Posted 17 days ago

Job description

Position Summary:
Vallen Distribution is building a governed, production-grade AI capability on an Azure-first, Databricks-centered architecture. This is not an advisory role - it is a hands-on builder position with broad ownership across the AI layer.
The AI Platform Engineer will own the Databricks AI/ML platform layer, drive enterprise AI governance, review and remediate shadow AI solutions, and directly deliver automation use cases with business teams. You will be the internal AI expert for the organization - the first call for departments exploring automation and the technical authority on what gets built, how, and where data flows.
This is a greenfield opportunity with real scope and visibility. You'll work directly with the SVP of Data & Technology Innovation and have immediate impact on a program that is active and growing today.
Core Responsibilities
Lakehouse AI Layer (Databricks) - ~35%
  • Own the AI/ML layer on Databricks: feature stores, MLflow experiment tracking and model registry, and RAG/prompt architectural standards
  • Define and enforce prompt engineering standards and LLM integration patterns across internal tools
  • Partner with Data Engineering to design data pipelines that feed AI/ML use cases from the Unity Catalog lakehouse
  • Evaluate and implement agentic frameworks (Claude API, Databricks AI agents) for internal automation

Automation Delivery - ~25%
  • Directly build and deliver 2-3 automation use cases per year with business teams (HR, Legal, customer service, operations)
  • Own full delivery lifecycle: scoping, design, build, testing, and handoff to platform operations
  • Produce well-documented, governed solutions - not one-off scripts

AI Governance & Shadow Solution Review - ~20%
  • Serve as the first-filter reviewer for all AI tools and platforms proposed for use at Vallen
  • Partner with Security and Infrastructure to assess data classification risk, vendor posture, and integration risk before production deployment
  • Review user-built solutions (Claude Desktop, Copilot, Cowork, and similar tools) and determine when a productivity workflow has crossed into enterprise scope - then lead the governed rebuild
  • Maintain Vallen's enterprise AI acceptable use policy, data classification guardrails, and platform-tier standards

Use Case Evangelism & Business Partnering - ~20%
  • Embed with departments to surface and prioritize automation opportunities
  • Maintain a scored use case backlog; facilitate structured discovery sessions with business stakeholders
  • Serve as the internal AI resource teams engage before going external

Job Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Experience in AI/ML engineering, data engineering, or a closely related technical role
  • Hands-on experience with Databricks - MLflow, notebooks, Unity Catalog, and Python/SQL workflows; or equivalent lakehouse platform experience with demonstrated ability to ramp quickly
  • Practical experience building with LLMs: prompt engineering, RAG pipelines, or API integration- production or project-level experience counts
  • Strong Python skills; ability to own full solution delivery from prototype to production
  • Solid grounding in Azure: Azure OpenAI, Azure Data Lake Storage, Azure Key Vault, and core networking/security concepts
  • Demonstrated ability to work across technical and non-technical stakeholders - you can explain what you're building and why it matters
  • Experience reviewing or documenting AI/ML solutions for risk, data sensitivity, or governance considerations

Preferred Qualifications:
  • Experience in distribution, supply chain, or industrial B2B environments
  • Familiarity with agentic frameworks: Databricks AI Agent Framework, LangChain, AutoGen
  • Exposure to enterprise AI governance concepts: acceptable use policies, data classification tiers, model risk review
  • Experience with Azure DevOps (ADO), CI/CD pipelines)
  • Familiarity with Power BI, Databricks Genie, or other BI/AI consumption layers
  • Working knowledge of MDM, ERP data structures, or multi-system data environments

Work Environment: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.):
  • Long periods of time working on a computer and performing repetitive key-boarding activities.

Physical Demands: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.):
  • While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to sit. The employee is occasionally required to stand and walk. The employee may be required to occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus.

#LI-REMOTE

Apply