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Databricks Engineer Jobs in Austin, TX (NOW HIRING)

Saxon Global

ML Engineer

Austin, TX

We are looking for a hands-on Senior Data Engineer to design, build, and operationalize ETL/ELT pipelines in Azure Databricks for manufacturing data and analytics use cases. This role will focus on ...

Incedo Inc

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Wealth Management Platform Employment Type: Full-Time About the Role We are seeking a ... The ideal candidate brings hands-on experience with Databricks and the Microsoft cloud ecosystem, a ...

Qode

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Certified (Associate or Professional) or demonstrated deep, hands-on Databricks ... Demonstrated use of AI tools in day-to-day engineering work - this is not optional; we expect ...

Qode

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Required Qualifications * • 5-8 years of experience in data engineering, with direct exposure to wealth management data domains * • Databricks Certified (Associate or Professional) or ...

YETI Coolers LLC

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is ...

YETI Coolers LLC

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is ...

Incedo

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ... The ideal candidate brings hands-on experience with Databricks and the Microsoft cloud ecosystem, a ...

Gainwell Technologies LLC

Senior Data Engineer

Austin, TX · Remote

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python. * Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely ...

OneOncology

Lead Data Engineer

Austin, TX · Remote

$101K - $133K/yr

The Lead Data Engineer will lead two closely related teams: a Data Operations team responsible for ... Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met

Kriscon Inc

Lead Agentic AI Engineer

Austin, TX · Remote

$98K - $129K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Integrate AI solutions with enterprise data platforms (SQL, Databricks) * Provide technical ...

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$59K

$110.7K

$201.2K

How much do databricks engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for databricks engineer in Austin, TX is $110,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,300.00 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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Databricks Engineer jobs near you
Resident Solutions Architect - Public Sector

Resident Solutions Architect - Public Sector

Databricks

Austin, TX

$62.50 - $82.25/hr

Other

Posted 8 days ago

Job description

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of  professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps 
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

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