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Databricks Engineer Jobs in Austin, TX (NOW HIRING)

3B Staffing LLC

Azure Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Multi-Year All visa no opt Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM, API Management, data governance, CI/CD ...

3B Staffing LLC

azure Data engineer

Austin, TX · On-site

$113K - $136K/yr

Multi-Year Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM, API Management, data governance, CI/CD, and Azure ...

Baker Botts LLP

Analytics Engineer

Austin, TX · On-site

$110 - $150/hr

... Engineer to help transform enterprise data into trusted, analytics-ready assets that support ... Working primarily within Azure Databricks and Entegrata, this role focuses on designing and ...

General Motors

Systems Engineer - Data and Insights

Austin, TX · On-site

$113K - $136K/yr

Design, build, and optimize Databricks (DBX) data pipelines and workflows to support scalable batch and near real-time data processing.. * Partner with data science and AI teams to productionize AI ...

Rivago infotech inc

Lead ML Engineer

Manor, TX · On-site

$110K - $145K/yr

Google Cloud Platform and Databricks * Neo4j / Graph Databases and Feature Stores * Data Pipelines and Feature Engineering * MLOps, Monitoring, and Production Support * Agentic AI Architecture (good ...

New

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133 - $188.60/hr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption.* Improve reliability, observability, and ...

YETI Canada Limited

Sr. Data Engineer

Austin, TX · On-site

$120 - $150/hr

Lead development of analytical data models using Databricks and Google BigQuery* Integrate SAP data sources including SAP HANA and S/4HANA* Optimize data performance of Google Vertex AI engineering ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

Armaninollp

Data & AI Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

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Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Austin, TX

Databricks Engineer information

See Austin, TX salary details

$59K

$110.6K

$201.2K

How much do databricks engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for databricks engineer in Austin, TX is $110,624.00, 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 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?

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 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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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
Infographic showing various Databricks Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,624 per year, or $53.2 per hour.

Azure Data Engineer

3B Staffing LLC

Austin, TX • On-site

$113K - $136K/yr

Full-time

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

Job description

Job Title: Azure Data Engineer
Location: Austin, TX (Onsite) local only
Contract: Multi-Year

All visa no opt

Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM, API Management, data governance, CI/CD, and Azure security.

Job Summary
We are seeking an experienced Azure Data Engineer to design, build, and optimize secure, scalable, and high-performance data solutions on Microsoft Azure. The role involves hands-on data architecture, ETL/ELT engineering, MDM, API integration, and governance for enterprise-wide data initiatives.

Key Responsibilities

  • Design and implement Azure data platforms using Azure Data Lake, Synapse, Databricks, and Azure SQL.
  • Build Lakehouse and medallion architectures (Bronze/Silver/Gold) and support data mesh/data hub patterns.
  • Develop and optimize ETL/ELT pipelines using ADF, Synapse Pipelines, and Databricks for batch and streaming data.
  • Integrate data from on-prem, cloud, SaaS, and API sources.
  • Implement MDM solutions (Profisee, Informatica, Semarchy) and support data governance, metadata, and data quality.
  • Build and manage APIs using Azure API Management, Logic Apps, Azure Functions.
  • Perform DBA tasks: performance tuning, query optimization, indexing, backup/recovery.
  • Implement CI/CD and IaC using Azure DevOps, Terraform, or Bicep.
  • Collaborate with cross-functional teams and mentor junior engineers.

Required Skills & Experience

  • 5+ years in Azure data engineering.
  • Strong in Azure Data Factory, Synapse, Databricks, ADLS Gen2.
  • Proficient in SQL, Python, PySpark, PowerShell.
  • Strong understanding of data modeling (3NF, dimensional, Data Vault, star/snowflake).
  • Experience with Lakehouse, medallion architecture, data mesh/hub.
  • Knowledge of MDM, data governance, metadata management.
  • Experience with CI/CD, IaC, and Azure security (RBAC, Key Vault, networking).

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