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Databricks Engineer Jobs in Houston, TX (NOW HIRING)

WorkNovas LLC

Platform Engineer

Houston, TX · On-site

Client is seeking a Platform Engineer with deep expertise in Databricks administration, data governance, and platform‑level engineering standards. This role enables multiple analytics and AI teams ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to ...

Vallen

AI Platform Engineer

Houston, TX · On-site +1

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 ...

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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 Sep 6, 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 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.

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 $90,000 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 can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $93,790 per year, or $45.1 per hour.

Sr. Solutions Architect - Oil, Gas, and Energy

Databricks Inc.

Houston, TX • On-site

$219.10 - $301.30/hr

Other

Re-posted 2 days ago

Key responsibilities

  • Serve as the main technical voice for Databricks across multiple clients.

  • Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.

  • Implement the technical strategy within the account in close alignment with the overall strategy.

Job description

Sr. Solutions Architect – Oil, Gas, and Energy

United States (Location: Houston, TX)

REQ ID – FEQ227R360

Mission

We are looking for experienced pre‑sales professionals who have a successful track record helping large enterprises become more data‑driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and most important Oil, Gas, and Energy accounts, leading to widespread use of our products and deeper adoption of ML & AI. You will leverage your background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team building proofs of concept and demonstrating Databricks’ products, you must be technical and understand the relevance and application of ML & AI within a range of use cases important to the target accounts.

Key Responsibilities
  • Serve as the main technical voice for Databricks across multiple clients.
  • Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.
  • Implement the technical strategy within the account in close alignment with the overall strategy.
  • Build a movement of technical champions within the account.
  • Align technical strategies around Databricks solutions.
  • Provide structured mentorship for other team members.
  • Develop and lead virtual teams to success within the account.
  • Establish relationships with executives and influencers.
  • Present a convincing point‑of‑view to key decision‑makers.
  • Demonstrate technical expertise in big data, data science and cloud.
  • Drive data‑driven business transformation and change with data.
Qualifications
  • Proficiency at establishing virtual teams; leading them to success.
  • Production programming experience in Python, R, Scala, or Java.
  • Excellent communication and presentation skills.
  • Strong background in value selling and technical leadership.
  • Experience in ML & AI adoption in enterprise settings.
  • Nice to have: Databricks Certification.
Pay Range Transparency

Zone 3 Pay Range: $219,100 — $301,300 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits

Databricks offers comprehensive benefits and perks that meet the needs of employees. For specific details on the benefits offered in your region, visit the company resources page.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

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