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Databricks Engineer Jobs in Houston, TX (NOW HIRING)

Vallen

AI Platform Engineer

Houston, TX · On-site +1

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 ...

Dow

Machine Learning Engineer

Houston, TX · On-site

Deploys and monitors machine learning models in production using Databricks Model Registry, Jobs, and Workspace * Frequently collaborates with data engineers, DevOps/platform engineers, data ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Metadata-Driven Frameworks, Code Generation, Azure DevOps The pay range is the lowest to highest ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Incipient Corp.

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Houston, TX Duration: 6 Months Contract Need Locals Required Qualifications Azure Databricks ... DevOps and IaC proficiency Azure DevOps or GitHub-based CI/CD, Bicep or Terraform, service ...

New

Fervo Energy

Data Engineer

Houston, TX

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Libsys, Inc.

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Required Qualifications • Azure Databricks expertise -- hands-on with Unity Catalog governance ... DevOps and IaC proficiency -- Azure DevOps or GitHub-based CI/CD, Bicep or Terraform, service ...

New

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland ... Build, optimize, and support pipelines that land data from source systems into the Databricks lake ...

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Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Houston, TX

Databricks Engineer information

See Houston, TX salary details

$50K

$93.8K

$170.6K

How much do databricks engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for databricks engineer in Houston, TX is $93,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $111,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Houston, TX?

For Databricks Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Houston, TX look for?

The top searched job categories for Databricks Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Databricks Engineer jobs?

Cities near Houston, TX with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $93,790 per year, or $45.1 per hour.

AI Platform Engineer

Vallen

Houston, TX • On-site, Remote

Full-time

Posted 25 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.

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