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Remote Databricks Jobs in Texas (NOW HIRING)

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... OpenAI, Databricks, or similar. 2+ years hands-on experience with Generative AI including LLM ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

Senior Software Engineer

Frisco, TX · On-site +1

$114K - $151K/yr

Hands-on experience utilizing Pyspark, Databricks, and Streamsets for large-scale data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

Senior Software Engineer

Dallas, TX · On-site +1

$121K - $159K/yr

Hands-on experience utilizing Pyspark, Databricks, and Streamsets for large-scale data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior Software Engineer

Frisco, TX · On-site +1

$114K - $151K/yr

Hands-on experience utilizing Pyspark, Databricks, and Streamsets for large-scale data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Showing results 1-20

Remote Databricks information

What are the key skills and qualifications needed to thrive as a Remote Databricks Engineer, and why are they important?

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 are remote Databricks jobs?

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 the most commonly searched types of Databricks jobs in Texas? The most popular types of Databricks jobs in Texas are:
What cities in Texas are hiring for Remote Databricks jobs? Cities in Texas with the most Remote Databricks job openings:
Infographic showing various Remote Databricks job openings in Texas as of July 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% Remote job distribution.
Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Kiewit Corporation

Houston, TX • Remote

$136K - $142K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

23rd of 79 rated construction


Job description

Requisition ID: 180215 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Digital Model / BIM Automation Developer to support the processing, transformation, and delivery of engineering models across enterprise-scale EPC projects. This role is responsible for managing and scaling automated pipelines that deliver critical 3D model data to thousands of users daily.

This is a highly technical, operations-focused role within the Digital Project Execution (DPE) team, requiring strong programming, data handling, and systems expertise. The position plays a key role in ensuring reliability, scalability, and performance of model delivery systems, while continuously improving automation processes to support rapid organizational growth.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

Responsibilities

Model Processing & Delivery

  • Process, convert, and prepare engineering models for downstream use in UniversalPlantViewer (UPV) / Universal Digital Twin Hub / UDITH
  • Manage and support the daily delivery of 100+ models to 3,000+ users across projects
  • Ensure model quality, consistency, and availability across environments
  • Troubleshoot model processing failures and implement corrective actions

Automation & Optimization

  • Develop, enhance, and maintain automation pipelines for model processing and delivery
  • Identify opportunities to reduce manual intervention and improve system reliability
  • Optimize existing workflows for performance, scalability, and maintainability
  • Implement monitoring and alerting for critical automation processes

Systems & Infrastructure Support

  • Support general systems administration tasks related to model processing environments
  • Maintain and improve infrastructure supporting automated workflows
  • Ensure systems are stable, secure, and performant under increasing scale

Data & Integration

  • Work with structured data using SQL to support model metadata and integration workflows
  • Integrate model data with downstream systems and platforms (e.g., Common Data Environments, analytics tools)
  • Support data transformation and validation processes

Continuous Improvement & Scaling

  • Contribute to scaling operations in a rapidly growing environment (~5x growth over recent years)
  • Improve reliability and maintainability of model delivery systems
  • Support onboarding of new projects and increased model volumes
Qualifications

Technology stack

Primary:

  • Universal Plant Viewer (UPV)
  • Python (preferred)
  • SQL Server / Azure SQL
  • Model processing tools and formats (e.g., SmartPlant Review, Navisworks, 3D model platforms)
  • Automation frameworks / scripting

Supporting:

  • Azure-based ecosystem (Data Factory, Databricks, Data Lake)
  • CI/CD and scripting tools

Required qualifications

  • Experience processing and converting engineering models
  • Strong proficiency in a modern programming language (Python preferred)
  • Engineering or construction industry experience (EPC environment preferred)
  • Strong SQL skills for data manipulation and integration
  • Proven ability to automate complex processes and workflows
  • Strong systems and infrastructure fundamentals (systems administration experience preferred)
  • Highly proficient in problem solving and troubleshooting complex technical issues
  • Strong foundational knowledge of computers, data structures, and coding principles
  • Ability to quickly learn new tools, systems, and workflows
  • Strong sense of ownership and accountability for delivering business-critical systems
  • Experience supporting high-availability systems used by large user bases (thousands of users)
  • Experience documenting functional requirements, technical designs, and data workflows.
  • Excellent written and verbal communication skills.

 

PREFERRED QUALIFICATIONS

  • Background in data analytics or data engineering
  • Experience training or supporting end users

BONUS EXPERIENCE

  • Knowledge of engineering design tool ecosystems (Hexagon Smart Suite).
  • Experience supporting data environments tied to project lifecycle systems.
  • Exposure to large-scale project-based data environments.

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.


What Kiewit Corporation employees say

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Benefits

Hours and flexibility

Workplace

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884