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Databricks Engineer Jobs in Texas (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Deloitte

Sr Databricks Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

JPS Tech Solutions LLC

Databricks Admin

Dallas, TX · On-site

Strong understanding of data engineering needs Strong understanding of aws infrastructure required by Databricks Experience with compliance audits/audit documentation Experience using Databricks APIs ...

Maddisoft

AI/ML Engineer (BDC Databricks)

Houston, TX

$14.25 - $19/hr

AI/ML Engineer - (BDC - Databricks) Location: Houston, TX (Hybrid) Role Overview We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and Preferred SAP Business Data ...

Maddisoft

AI/ML Engineer - (BDC - Databricks)

Houston, TX · On-site

$14.25 - $19/hr

AI/ML Engineer - (BDC - Databricks) Location: Houston, TX (Hybrid) Role Overview We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and Preferred SAP Business Data ...

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$55.4K

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How much do databricks engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for databricks engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 per year, depending on experience, location, and employer.

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

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.

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.

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.

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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
What are popular job titles related to Databricks Engineer jobs in Texas? For Databricks Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Texas look for? The top searched job categories for Databricks Engineer jobs in Texas are:
What cities in Texas are hiring for Databricks Engineer jobs? Cities in Texas with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Texas as of May 2026, with employment types broken down into 3% As Needed, 83% Full Time, 1% Part Time, 8% Contract, and 5% Nights. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Houston, TX • On-site

$109.30K - $131.20K/yr

Full-time

Posted 8 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients leverage modern data platforms for analytics and business transformation. As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments.
Responsibilities:
• Lead the design and implementation of enterprise data pipelines, data models, and cloud-based data architectures using Databricks
• Build and optimize batch and streaming data solutions that support analytics, reporting, and operational use cases
• Advise stakeholders on platform capabilities, architecture decisions, governance controls, and delivery approaches aligned to business objectives
• Drive engineering quality through automation, continuous integration/continuous deployment (CI/CD), performance tuning, and scalable delivery practices
• Contribute to technical best practices, evaluate emerging platform capabilities, and support teams delivering modern data engineering solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams
• 5+ years of experience in data engineering with a focus on Databricks deployed on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF) and dimensional modeling
• Experience building batch and incremental data pipelines using PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, or Apache Airflow
• Experience with Databricks Unity Catalog, fine-grained security controls, and continuous integration/continuous deployment (CI/CD) pipeline deployment
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Engineering, or a related field
• Experience with one or more cloud ecosystems, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience tuning Databricks or Apache Spark workloads for performance and cost efficiency
• Experience with Databricks Lakeflow
• Experience supporting artificial intelligence or machine learning use cases on cloud data platforms
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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