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Entry Level Databricks Data Engineer Jobs in Houston, TX

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

... Databricks, GIT, Azure, SQL. * Integrating models into production on a weekly or even daily basis ... Learning new engineering practices, technologies and continuously improving our Agile practices ...

Fervo Energy

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn ... Databricks, Snowflake, Azure Data Lake Storage (ADLS), Azure Data Factory * Oil and gas or energy ...

United Airlines

AI /ML Data Scientist

Houston, TX

$53K - $122K/yr

Strong understanding of data engineering principles and experience working with SQL and NoSQL databases such as MySQL, MongoDB, and Redis. Experience utilizing Databricks, PySpark, and cloud-based ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn ... Databricks, Snowflake, Azure Data Lake Storage (ADLS), Azure Data Factory * Oil and gas or energy ...

CGI Inc.

Data Analyst - Entry Level

Houston, TX · On-site

As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and ... programming languages used for data analysis (e.g., Python or R). • Exposure to data analysis ...

Nam Info Inc

Pytho Data Bricks Consultant

Houston, TX · On-site

Python + Databricks consultant Location: Houston, TX (remote possible for a top-tier expert ... Strong Python engineering skills (pandas, numpy; optimization libraries such as Pyomo, PuLP or ...

United Airlines

Associate Data Scientist

Houston, TX

$75K - $90K/yr

AI/ML Engineer / GenAI Engineer / Data Scientist Overview Capgemini is seeking an enthusiastic and ... Utilize platforms such as Databricks, PySpark, and modern AI frameworks. Develop agentic AI ...

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Entry Level Databricks Data Engineer information

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$28.6K

$66.2K

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How much do entry level databricks data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level databricks data engineer in Houston, TX is $66,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $75,000.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What are the most commonly searched types of Databricks Data Engineer jobs in Houston, TX?

The most popular types of Databricks Data Engineer jobs in Houston, TX are:

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

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Entry Level Databricks Data Engineer jobs near you

Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Houston, TX • On-site, Remote

Kiewit
Construction Materials Wholesalers • 10K+ employees
Learn more about Kiewitexternal

$136K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

Job description

Requisition ID: 182268
Job Level: Mid Level
Home District/Group: DHO Information Technology Group
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.
There's no limit to what you'll do at Kiewit. Whether you're building or supporting projects that provide communities with dependable energy, safe transportation, clean water, or access to health care, the work you do will positively impact people's lives for generations to come.
Here you'll have endless opportunities to expand your expertise through on-the-job experience and internal and external training and development opportunities.
We offer our full-time staff employees a comprehensive benefits package that's among the best in our industry. From top-tier health care programs to employee assistance programs and retirement planning, we aim to provide you with the tools you need to be successful in the areas of life that matter most to you.
Kiewit is an equal-opportunity employer, and we believe a diverse workforce is vital to the success of our business. We continue our efforts to attract, develop and retain employees from all backgrounds who are passionate about our industry.
We are committed to veteran and military hiring and will consider relevant military experience as equivalent to qualification requirements.

What Kiewit Corporation employees say

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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

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