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Remote Databricks Data Engineer Jobs in Texas (NOW HIRING)

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Elasticsearch, SQL, Databricks * AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more) What You'll ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value ... This role will provide technical solution to multiple engineering and operation teams, develop ...

ActivTrak

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

We're growing our data engineering team to design and operate the production systems that make our ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

JDA

Principal Data Platform Engineer

Dallas, TX · Remote

US Remote (Preference given to Dallas, TX or Scottsdale, AZ candidates) Synonymous Business Title ... Databricks: Expert-level administration; Unity Catalog, cluster policies, SQL warehouses, identity ...

Photon

Snowflake Developer - ll - Dallas, TX

Dallas, TX · Remote

$113K - $136K/yr

Snowflake Developer - Data engineering, analysis, data warehouses, data lakes. Specialist ... Experience with Databricks. * Apache Spark. * Kafka/Event Streaming. * Data Lake Architecture.

PepsiCo

Enterprise Data Operations Senior Analyst

Plano, TX · On-site +1

$118K - $148K/yr

... Databricks, DBT, and related tools. Lead the development and optimization of advanced ETL/ELT ... Establish and enforce best practices for data engineering operations, including monitoring, logging ...

PepsiCo

Enterprise Data Operations Senior Analyst

Plano, TX · On-site +1

$118K - $148K/yr

... Databricks, DBT, and related tools. Lead the development and optimization of advanced ETL/ELT ... Establish and enforce best practices for data engineering operations, including monitoring, logging ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Texas

Remote Databricks Data Engineer information

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Texas?

The most popular types of Databricks Data Engineer jobs in Texas are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Texas?

For Remote Databricks Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Texas look for?

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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Platform Engineer

Houston, TX • On-site, Remote

Vallen
Manufacturing • 1 - 5K employees
Learn more about Vallenexternal

Full-time

Re-posted 24 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.
Essential Duties and 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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