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Databricks Engineer Jobs in Texas (NOW HIRING)

Tiger Analytics Inc.

Databricks Admin

Dallas, TX

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Texas

Databricks Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do databricks engineer jobs pay per year?

As of Jun 23, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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 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 June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Databricks SME

Turnbridge Technical Solutions

Dallas, TX • Hybrid

Contractor

Posted 27 days ago

Job description

Databricks Subject Matter Expert (Lead / Principal)

Location: Dallas, TX (Hybrid)

Employment Type: Contract-to-Hire

About TURNBRIDGE

TURNBRIDGE delivers precision-driven technical solutions and talent strategies that help organizations modernize, scale, and innovate. We focus on quality over volume—bringing deep technical expertise, transparency, and speed to every engagement.

Role Overview

TURNBRIDGE is seeking a Databricks Subject Matter Expert at the Lead / Principal level to serve as the firm’s top technical authority on the Databricks Lakehouse Platform. In this highly visible role, you will lead complex data transformation initiatives—from strategy and architecture through hands-on implementation and production deployment.

You will partner closely with senior stakeholders to define data platform strategies, design scalable Databricks solutions, and mentor delivery teams. This role blends deep technical leadership with client advisory, pre-sales support, and practice development.

Note: This role is based in Dallas, TX and follows a hybrid work model.

Key Responsibilities

Solution Architecture & Design

  • Lead end-to-end design of Databricks Lakehouse architectures, including Delta Lake, Unity Catalog, and medallion (bronze/silver/gold) data models
  • Define reference architectures, best practices, and reusable accelerators to support delivery consistency and scale
  • Evaluate and recommend deployment patterns across Azure Databricks, AWS Databricks, and GCP, aligning solutions with infrastructure, security, and governance requirements

Data Engineering & Pipeline Development

  • Architect and oversee large-scale ETL/ELT pipelines using Apache Spark, Delta Live Tables, and Databricks Workflows
  • Design both real-time and batch ingestion frameworks for structured, semi-structured, and unstructured data
  • Establish standards for data quality, lineage, and observability leveraging Unity Catalog, Delta Lake features, and complementary tooling

Machine Learning & MLOps

  • Guide teams on building end-to-end ML workflows using MLflow, Feature Store, and Databricks Model Serving
  • Advise on MLOps patterns including model versioning, monitoring, A/B testing, and automated retraining
  • Collaborate with data science teams to productionize models and integrate ML outputs into downstream applications

Client Advisory & Engagement Leadership

  • Act as a trusted advisor to senior stakeholders on data platform strategy and Databricks adoption
  • Lead discovery sessions, architecture reviews, and technical assessments to define solution roadmaps
  • Support pre-sales efforts through solution design, effort estimation, proposal development, and technical demonstrations

Thought Leadership & Practice Development

  • Contribute to internal intellectual property, including frameworks, accelerators, white papers, and training materials
  • Mentor and upskill consultants across the data practice, fostering a strong Databricks community of excellence
  • Represent TURNBRIDGE at industry events, partner summits, and webinars as a Databricks thought leader

Required Qualifications

  • 10+ years of experience in data engineering, analytics, or platform architecture
  • 5+ years of hands-on experience with Databricks in enterprise production environments
  • Expert-level proficiency in Apache Spark (PySpark and/or Scala), Delta Lake, and SQL
  • Proven experience designing multi-cloud Lakehouse architectures (Azure, AWS, or GCP)
  • Strong hands-on experience with Unity Catalog for governance, access control, and lineage
  • Demonstrated success leading client-facing technical engagements and communicating with executive audiences
  • Background in consulting or professional services, managing multiple concurrent engagements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience

Preferred Qualifications

  • Databricks certifications (Data Engineer Professional and/or Machine Learning Professional)
  • Experience with Delta Live Tables, Databricks Workflows, and Photon optimization
  • Familiarity with dbt, Infrastructure as Code (Terraform or Pulumi), and CI/CD pipelines for data platforms
  • Hands-on experience with MLflow, Feature Store, and Model Serving in production
  • Prior experience working within a Databricks partner ecosystem
  • Advanced degree (M.S. or Ph.D.) in a technical or quantitative discipline

Core Skills

  • Apache Spark
  • Databricks Lakehouse Architecture
  • Data Quality & Governance
  • CI/CD for Data Platforms
  • Workflow Orchestration