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Databricks Engineer Jobs in Houston, TX (NOW HIRING)

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Job Title: Sr. Data Engineer Location: Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop ...

Horizontal Talent

Azure Databricks Lead Engineer

Houston, TX · On-site +1

$97K - $128K/yr

We're seeking an experienced Azure Databricks Lead Engineer to help shape and manage a modern enterprise data platform. This role is ideal for a hands-on data engineer who enjoys building scalable ...

Nam Info Inc

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

Databricks Azure Location: Houston, TX - Hybrid 2-3 days Duration: 6 months JD: Role Summary * We ... The ideal candidate will have strong expertise in data engineering, cloud platforms, Spark, and ...

New

ZipStaff Inc.

Azure Databricks Architect

Houston, TX · On-site

$65 - $67/hr

Azure Databricks Architect Location: Houston, TX (On-site) Employment Type: Contract (W2 through ... You will drive data engineering best practices, architect scalable Lakehouse solutions, mentor team ...

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 ...

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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 16, 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.

Sr. Data Engineer-Azure Databricks

Scadea

Houston, TX • On-site

$109K - $131K/yr

Full-time

Posted 11 days ago

Job description

Job Title: Sr. Data Engineer
Location: Houston, TX
Length: 6-10 months
 
Job Summary
We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop, and manage our enterprise data platform. In this architecture, all core transformations will be built directly within Databricks using Databricks Workflows and Jobs. The ideal candidate must have deep experience with Unity Catalog, DevOps (CI/CD), and the ability to drive Synapse migrations into code-driven Databricks environments.
Key Responsibilities
• Core Databricks Engineering: Design, build, and optimize end-to-end data pipelines entirely within Azure Databricks and Delta Lake using PySpark, SQL, or Scala.
• Orchestration & Automation: Build, schedule, and maintain complex production pipelines utilizing Databricks Workflows and Jobs as the primary orchestration engine.
• Data Legacy Migration: Lead and execute the migration of legacy data architectures into optimized Databricks solutions.
• Pipeline Conversion: Translate and refactor legacy business logic (such as converting historical Alteryx workflows) into clean, scalable Databricks notebook code.
• Data Governance: Implement and manage data access, security, schemas, and lineage across the platform using Databricks Unity Catalog.
• CI/CD & DevOps Automation: Develop, maintain, and automate Databricks workspace deployments and jobs using YAML and Classic CI/CD pipelines in Azure DevOps.
Certifications (Highly Prioritized)
• Active Professional Certifications are strongly preferred, such as:
o Databricks Certified Data Engineer Associate / Professional
o Microsoft Certified: Azure Data Engineer Associate (DP-203)
o Microsoft Azure Fundamentals (AZ-900) or equivalent foundational Azure knowledge is required at a minimum.'
• Alteryx Conversion: Familiarity with Alteryx workflows is a major plus, specifically to assist in reverse-engineering and converting legacy visual workflows into PySpark/SQL code. (Note: Candidates do not need to be Alteryx developers, but must be comfortable reading/migrating the ETL logic).