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Databricks Jobs in Texas (NOW HIRING)

CEDENT

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 ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site

Requirements The Azure Databricks Administrator will be responsible for providing technical expertise in deploying applications on Azure Databricks platform. The Databricks Administrator must be self ...

Deloitte

Databricks Manager

Westlake, TX · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Cedent Life Talent

Azure Databricks Engineer

Dallas, TX

$54.75 - $67.75/hr

Azure Databricks Engineer Key Responsibilities: * Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. * Architect and implement end-to-end ...

Deloitte

Databricks Manager

Houston, TX

Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate ...

Deloitte

Databricks Manager

Dallas, TX · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

The Intersect Group

Lead Databricks Architect

Dallas, TX · Remote

$55 - $75.25/hr

Senior Databricks Architect (100% Remote) Company Overview Our client is a leading provider of large-scale infrastructure and engineering services that support essential industries across North ...

Deloitte

Databricks Manager

Fort Worth, TX · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte

Databricks Manager

Austin, TX · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte

Databricks Manager

San Antonio, TX · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Diverse Lynx

Azure Databricks Engineer

Houston, TX

$93.10K - $127.50K/yr

Azure Databricks Engineer Location: Houston TX- Hybrid Level: 5 Exp: 10+ Years Core Responsibilities Design and implement scalable data platforms and pipelines using Azure Databricks, Apache Spark ...

Veracity

Azure Databricks Engineer

Frisco, TX

$51.50 - $64/hr

Azure Databricks Engineer Job Location: Berkeley Heights, NJ, Omaha, NE, or Frisco, TX (100% Onsite - local only no relocation) Employment Type: FTE Key Technology: Azure Databricks Job ...

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$21.9K

$35.1K

$47.5K

How much do databricks jobs pay per year?

As of Jun 1, 2026, the average yearly pay for databricks in Texas is $35,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $38,700.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.
More about Databricks jobs
What are the most commonly searched types of Databricks jobs in Texas? The most popular types of Databricks jobs in Texas are:
What are popular job titles related to Databricks jobs in Texas? For Databricks jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Texas look for? The top searched job categories for Databricks jobs in Texas are:
What cities in Texas are hiring for Databricks jobs? Cities in Texas with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Texas as of May 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $35,136 per year, or $16.9 per hour.
Azure Databricks Engineer

Azure Databricks Engineer

CEDENT

Dallas, TX

$59.25 - $77.25/hr

Full-time

Posted 4 hours ago

Job description

Key Responsibilities:
  • 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 solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage).
    • Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting.
  • Data Engineering & Integration:
    • Design and implement ETL/ELT processes to ingest, process, and transform data across various sources (structured and unstructured).
    • Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and develop data solutions.
    • Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL, Synapse, etc.
  • Optimization & Performance Tuning:
    • Identify performance bottlenecks in Databricks environments and optimize clusters, queries, and code.
    • Continuously improve and scale data pipelines to accommodate growing data volumes and business needs.
  • Collaboration & Leadership:
    • Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering.
    • Work closely with cross-functional teams (data science, analytics, business intelligence) to deliver integrated solutions.
    • Provide technical leadership in cloud data architecture and data engineering.
  • Monitoring & Security:
    • Implement monitoring and alerting systems to ensure data pipelines and workflows are running smoothly.
    • Ensure compliance with data security and governance standards across the data ecosystem.
  • Continuous Improvement & Innovation:
    • Stay up to date with the latest advancements in Azure Databricks, cloud technologies, and data engineering trends.
    • Continuously evaluate and introduce new technologies and methodologies to enhance the data platform.
Required Skills and Qualifications:

  • Experience:

    • Minimum 10 years of hands-on experience in data engineering and cloud-based data platforms.
    • At least 5 years of experience working with Azure Databricks, building data pipelines, and performing data engineering tasks.
    • Strong experience with Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, etc.

  • Technical Skills:

    • Proficiency in Spark, PySpark, Scala, or SQL for large-scale data processing.
    • Expertise in Databricks notebooks, clusters, job scheduling, and libraries.
    • Deep understanding of cloud-native data engineering practices and architecture on Azure.
    • Familiarity with data modeling, data lakes, and data warehouse concepts.
    • Expertise in Azure services: Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB.

  • Data Pipeline and ETL/ELT Development:

    • Experience building and optimizing ETL/ELT workflows on Databricks.
    • Knowledge of data orchestration tools such as Azure Data Factory, Apache Airflow, or similar.

  • Big Data Technologies:

    • Proficiency in handling large-scale distributed data processing with tools like Apache Spark.
    • Experience with technologies such as Kafka, Delta Lake, and Databricks Runtime.
    • Strong understanding of Delta Lake and Lakehouse architecture.

  • Programming Languages:

    • Strong programming skills in Python, Scala, or Java.
    • Experience with SQL-based querying and optimizations.

  • Cloud & DevOps:

    • Strong understanding of Azure cloud services and architecture.
    • Familiarity with DevOps principles, CI/CD pipelines, and automation tools. Terraform required.
    • Knowledge of Git, Azure DevOps, or similar version control and deployment systems.

  • Collaboration & Leadership:

    • Excellent communication skills to work with both technical and non-technical stakeholders.
    • Proven track record of mentoring and leading teams of data engineers.
    • Experience managing complex projects and working with cross-functional teams.
Preferred Qualifications:

  • Certifications:

    • Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
    • Databricks Certified Associate Developer for Apache Spark.

  • Education:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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