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Databricks Engineer Jobs in Houston, TX (NOW HIRING)

INSPYR Solutions

Data Engineer

The Woodlands, TX · On-site

$70 - $85/hr

  • Medical

  • Retirement

Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines * Enable CI/CD & DevOps: Integrate data ...

Beusa Energy Group

Data Engineer III

The Woodlands, TX · On-site

$104K - $125K/yr

Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta ... Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file ...

ThinkNorth LLC

Senior AIML Platform Engineer

Houston, TX · On-site

$99K - $137K/yr

... Databricks cloud and enterprise AIML patterns Core responsibilities Lead solution design ... engineering architecture and platform teams to align scope priorities and outcomes Support ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Requirements · Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI · Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Git The pay range is the lowest to highest compensation we reasonably in good faith believe we would ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX

$104K - $125K/yr

Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta ... Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file ...

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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.

Data Engineer

INSPYR Solutions

The Woodlands, TX • On-site

$70 - $85/hr

Other

Medical, Retirement

Re-posted 8 days ago

Job description

Title: Data Engineer
Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. 
Duration: 6 + months
Compensation: $70 to $85 per hour W2
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US 
 
Job Description:  
We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms.
You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products.
Duties/Responsibilities:
  1. Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture.
  2. Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  3. Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies.
  4. Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines
  5. Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
  6. Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI.
  7. Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems.
  8. Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies.

 
Skillset / Experience:  
  • 5–7 years of experience in data engineering or related roles.
  • Proven expertise in data modeling (especially dimensional modeling) and data warehouse design.
  • Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
  • Strong SQL and Spark SQL skills.
  • Experience with CI/CD, DevOps, and version control (Git, Azure DevOps).
  • Familiarity with Power BI or similar visualization tools.
  • Solid understanding of data integration, data quality, and data transformation best practices.
  • Strong problem-solving skills and a collaborative mindset.
 
Our benefits package includes: 
  • Comprehensive medical benefits 
  • Competitive pay, 401(k) 
  • Retirement plan 
  • …and much more! 
 
About INSPYR Solutions:  
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. 
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 
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