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Databricks Engineer Jobs in Irving, TX (NOW HIRING)

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

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 ...

Deloitte

Sr Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

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 ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

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 ...

AspireIT Solutions

Databricks Developer

Dallas, TX · Hybrid

Databricks Developer Dallas, TX (Hybrid - 3 Days Onsite) Contract: 6+ Months Key Requirements: * 6+ years of experience building data pipelines using Python or Scala. * 4+ years of hands-on ...

Argyle Infotech

Databricks Data Engineer

Dallas, TX

$113K - $136K/yr

Databricks Data Engineer Position: Databricks Data Engineer Type: On-site Location: Dalls, Texas (Local or ready to relocate is fine) Client: Through CTS JD: Minimum 8 to 10+ years of working ...

Deloitte

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 ...

Deloitte

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Prabhav Services Inc

Azure Databricks

Dallas, TX

$54.75 - $67.75/hr

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 ...

New

JPS Tech Solutions LLC

Databricks Admin

Dallas, TX · On-site

Strong understanding of data engineering needs Strong understanding of aws infrastructure required by Databricks Experience with compliance audits/audit documentation Experience using Databricks APIs ...

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$56.8K

$106.6K

$193.9K

How much do databricks engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for databricks engineer in Irving, TX is $106,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $126,600.00 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.
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What cities near Irving, TX are hiring for Databricks Engineer jobs? Cities near Irving, TX with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Irving, TX as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $106,627 per year, or $51.3 per hour.

DataBricks Engineer

Texas State Library and Archives Commision

Irving, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

GCP Senior Technical Lead with Databricks
Onsite- Irving, TX
DataBricks Engineer
8+ years of experience in data engineering, with at least 3 years on Databricks.
- Strong proficiency in PySpark, SQL, and Delta Lake.
- Hands-on experience with GCP Dataproc.
Responsibilities:
1. Administration:
- Lead the installation and configuration of Databricks on GCP cloud platforms.
- Monitor platform health, performance, and cost optimization.
- Implement governance, logging, and auditing mechanisms.
2. Development / Enhancements:
- Design and develop scalable ETL/ELT pipelines using PySpark, SQL, and Delta Lake.
- Collaborate with data engineers and analysts to enhance data workflows and models.
- Optimize existing notebooks and jobs for performance and reliability.
3. Operations, Support & Troubleshooting:
- Provide L2/L3 support for Databricks-related issues and incidents.
- Troubleshoot cluster failures, job errors, and performance bottlenecks.
- Maintain technical documentation for platform setup, operations, and development standards

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