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Azure Databricks Jobs in Texas (NOW HIRING)

Azure Databricks

Dallas, TX · On-site

$54.75 - $67.75/hr

Design and build scalable ETL pipelines using Azure Databricks. * Data Migration : Migrate data from on-premises or legacy systems into Azure cloud environments. * Big Data Processing : Handle large ...

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. * Architect and implement end-to-end analytics ...

Azure Databricks Architecture & Design: Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. Architect and implement end-to-end analytics ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. * Architect and implement end-to-end analytics ...

Azure Databricks Admin

Plano, TX · On-site

$53 - $65.75/hr

Experience of supporting migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or GCP • Skillset of integrating guidelines to configure and integrate Databricks with other ...

Azure/Databricks Infrastructure Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Azure/Databricks Infrastructure Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

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 ...

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions * CI/CD: GitHub, Jenkins, Azure DevOps, Terraform * BI Analytics Tool Stack - Cognos ...

Data Migration Architect - Azure

Houston, TX · On-site

$60.75 - $79/hr

Lead migration of Azure Databricks, Azure Data Factory (ADF), Azure Synapse, ADLS Gen2, Azure SQL, Power BI, Purview, and Key Vault assets. * Modernize data platforms using Lakehouse/Medallion ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Databricks * Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing)

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Azure Databricks information

See Texas salary details

$10

$54

$74

How much do azure databricks jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for azure databricks in Texas is $54.41, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $61.15 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
What are the most commonly searched types of Azure Databricks jobs in Texas? The most popular types of Azure Databricks jobs in Texas are:
What job categories do people searching Azure Databricks jobs in Texas look for? The top searched job categories for Azure Databricks jobs in Texas are:
What cities in Texas are hiring for Azure Databricks jobs? Cities in Texas with the most Azure Databricks job openings:
Infographic showing various Azure Databricks job openings in Texas as of June 2026, with employment types broken down into 90% Full Time, 3% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $113,174 per year, or $54.4 per hour.
Azure Databricks

$54.75 - $67.75/hr

Other

Posted 9 days ago


Job description

Responsibilities
  • Data Engineering: Design and build scalable ETL pipelines using Azure Databricks.

  • Data Migration: Migrate data from on-premises or legacy systems into Azure cloud environments.

  • Big Data Processing: Handle large datasets using Spark, Delta Lake, and Databricks notebooks.

  • Integration: Connect Databricks with Azure Data Lake, Synapse, Power BI, and other services.

  • Optimization: Tune Spark jobs for performance and cost efficiency.

  • Collaboration: Work with data scientists, analysts, and business stakeholders to deliver insights.

Required Skills
  • Azure Databricks: Strong hands-on experience with Databricks notebooks, clusters, and Delta Lake.

  • Apache Spark: Expertise in PySpark/Scala for distributed data processing.

  • Azure Ecosystem: Familiarity with Azure Data Lake, Synapse Analytics, Event Hub, and Power BI.

  • Programming: Proficiency in Python, Scala, or SQL.

  • Cloud Architecture: Understanding of cloud-native design, CI/CD, and DevOps practices.

  • Data Governance: Knowledge of security, compliance, and role-based access in Azure.

Ideal Candidate
  • Experience in end-to-end data migration and transformation projects.

  • Strong problem-solving and debugging skills in distributed environments.

  • Ability to collaborate across technical and business teams.

  • Excellent communication and documentation skills.