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Databricks Engineer Jobs in Austin, TX (NOW HIRING)

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 ...

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 ...

Datalinx AI

Senior Full-Stack Engineer

Austin, TX · On-site

... Databricks, Snowflake) for intelligent query and data retrieval. • Develop tools that automate ... and other engineering disciplines to enable business success for customers. • Document best ...

CLA (CliftonLarsonAllen)

Senior AI Engineer

Austin, TX · On-site

$103K - $142K/yr

... and Databricks environments • Develop robust evaluation frameworks for both ML models and LLM ... engineers • Lead architecture reviews, code reviews, and technical design discussions • ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

... BigQuery, Databricks) Use tools like DBT to create modular, testable, and well-documented ... data engineering in an AI-first platform Preferred Qualifications Experience building AI/LLM ...

Cliftonlarsonallen

Senior AI Engineer

Austin, TX

$103K - $142K/yr

Build and deploy AI workflows within Azure and Databricks environments * Develop robust evaluation ... Establish engineering standards across testing, CI/CD, deployment, and monitoring Cross-Functional ...

Dlapiper

Data Engineer

Austin, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

DriveWealth

Principal AI Engineer

Austin, TX · On-site

We are looking for a Principal AI Engineer who thrives at the intersection of data platform ... SageMaker, MLflow, Databricks Model Serving) * Experience with data transformation and ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Austin, TX

Databricks Engineer information

See Austin, TX salary details

$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.
What are popular job titles related to Databricks Engineer jobs in Austin, TX? For Databricks Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Austin, TX look for? The top searched job categories for Databricks Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Databricks Engineer jobs? Cities near Austin, TX with the most Databricks Engineer job openings:
Databricks Engineer jobs near you

Lead Agentic AI Engineer

Kriscon Inc

Austin, TX • Remote

$98K - $129K/yr

Full-time

Posted 10 days ago

Job description

Benefits:
  • Employee discounts
  • Health insurance

Location: US (EST Time Zone)
Experience Level: Lead
Location: Remote, EST Time zone

Role Overview
We are looking for a Lead Agentic AI Engineer to drive the design, development, and deployment of advanced AI-powered applications using Generative AI and agentic frameworks.
This role combines deep technical expertise with leadership responsibilities, including guiding architecture, mentoring engineers, and shaping AI strategy across initiatives.
Key Responsibilities

  • Lead the design and development of scalable backend systems using Python and Fast API
  • Architect and deliver end-to-end GenAI and Agentic AI applications in production
  • Partner with Architects to define technical strategy and best practices for agentic AI systems
  • Integrate AI solutions with enterprise data platforms (SQL, Databricks)
  • Provide technical leadership, mentorship, and conduct code reviews
  • Collaborate with stakeholders to translate business needs into AI-driven solutions
  • Oversee deployment, scalability, and performance on cloud platforms (AWS or Azure)
  • Drive adoption of emerging frameworks, including AWS Agent Core (Phase 2 roadmap)

Required Skills (Must-Have)
  • Expert-level backend development with Python and Fast API
  • Strong experience with SQL, Databricks, and relational databases
  • Hands-on experience with at least one cloud platform (AWS or Azure)
  • Proven track record of building and scaling end-to-end GenAI or Agentic AI applications
  • Experience leading technical teams or owning architecture for complex systems

Preferred Skills (Good-to-Have)
  • Frontend experience with React and Tailwind CSS
  • Familiarity with AWS Agent Core or similar agent orchestration frameworks

What Were Looking For
  • Strong leadership and decision-making skills
  • Ability to balance hands-on development with strategic oversight
  • Excellent communication with both technical and business stakeholders

This is a remote position.