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Manager Databricks Data Engineer Jobs in Austin, TX

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building ... If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building ...

General Motors

Data Engineering Manager

Austin, TX

$113K - $136K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building ... If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building ...

Base Power Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Manage ingestion across a wide range of data sources -- IoT telemetry, third-party APIs ... Databricks) * Strong coding skills in Python and SQL; experience with Go or another compiled ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ... Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux + Bash/Z ...

Deloitte

Azure/Databricks Infrastructure Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

This role supports enterprise clients across cloud modernization, data platform transformation ... cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM ...

Arrive Logistics

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect and manage cloud-based data infrastructure. * Orchestrate batch machine learning ... Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.

Arrive Logistics

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Architect and manage cloud-based data infrastructure. * Orchestrate batch machine learning ... Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.

Overhaul Group Inc

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

  • Medical

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... Design and maintain streaming data pipelines using Databricks, and Spark * Create ML Pipelines to ...

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Showing results 41-60

All JobsDatabricks Data Engineer JobsManager Databricks Data Engineer JobsManager Databricks Data Engineer Jobs in Austin, TX

Manager Databricks Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do manager databricks data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager databricks data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in Austin, TX?

The most popular types of Databricks Data Engineer jobs in Austin, TX are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Austin, TX?

For Manager Databricks Data Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Manager Databricks Data Engineer jobs in Austin, TX look for?

The top searched job categories for Manager Databricks Data Engineer jobs in Austin, TX are:

Manager Databricks Data Engineer jobs near you
Infographic showing various Manager Databricks Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineering Manager

General Motors

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 8 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,288 frontline employees who took The Breakroom Quiz

Job description

Job Description
About the Role
The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics.
This is a highly technical leadership role responsible for building scalable, cloud-native data products across a multi-cloud Lakehouse architecture with a strong focus on Databricks, Distributed Data Processing, near Real-Time Streaming, AI/ML, and Generative AI. 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 technology leader who combines deep technical expertise with strong people leadership. You thrive in solving complex engineering challenges, embrace innovation, and are passionate about building scalable, AI-ready data platforms that power millions of connected customer experiences. Your ability to influence strategy, mentor engineers, and deliver modern data solutions will shape the future of GM's customer data ecosystem.
What You'll Do
  • Lead, mentor, and grow a high-performing team of Data Engineers, including performance management, career development, hiring and onboarding.
  • Define and execute the technical roadmap for Customer, Marketing, and OnStar/Digital data products, using cloud-agnostic, portable architecture that enable interoperability across Azure, GCP, AWS, and other platforms while supporting GM's long-term multi-cloud strategy.
  • Architect, Design and build scalable batch, streaming, API, and event-driven data pipelines using Databricks, Apache Spark, Delta Lake, and Unity Catalog.
  • Own end-to-end delivery of data engineering initiatives from product requirements to operational support post deploy.
  • Drive modernization from legacy platforms to cloud-native, multi-cloud Lakehouse architectures.
  • Enable AI and Machine Learning by building trusted, reusable, and governed data products supporting predictive analytics, GenAI, and LLM applications.
  • Collaborate with architecture and platform teams to align reference architectures, standards, and reusable components.
  • Champion engineering excellence through CI/CD, Infrastructure as Code, Data Observability, automated testing, metadata management, and data quality.
  • Optimize platform performance, scalability, reliability, and cloud cost efficiency.
  • Collaborate with Business, Product, Marketing, Analytics, Security, and Architecture teams to deliver business outcomes and technical innovation.
  • Foster a culture of innovation, continuous learning, experimentation, and engineering excellence.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in computer science, Engineering, Information Systems, or related field.
  • 7+ years of experience in Data Engineering, Software Engineering, or production grade Distributed Data Platforms.
  • 3+ years of proven experience leading and managing data engineering or software engineering teams.
  • Deep expertise with Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, and modern Lakehouse architectures.
  • Experience designing cloud-native solutions across Azure, AWS, or GCP.
  • Strong understanding of data modeling, data governance, observability, security, and engineering best practices.
  • Experience with or exposure to AI-first engineering concepts, including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), vector search, and LLM-powered applications.
  • Strong experience building large-scale distributed batch and streaming data pipelines.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to translate business needs into technical solutions.

What Will Give You A Competitive Edge (Preferred Qualifications)
  • Experience with Databricks AI capabilities (MLflow, Mosaic AI, Delta Live Tables, Feature Store, Vector Search, Genie Spaces).
  • Experience building Customer 360, Marketing, Personalization, CDP, or Connected Services platforms.
  • Experience implementing DataOps/MLOps practices, including CI/CD pipelines and automated testing for data pipelines
  • Experience with streaming technologies such as Kafka or Azure Event Hubs.
  • Experience integrating with and working with data from Shopify, Heap, Adobe SDK and AppsFlyer
  • Knowledge of Data Mesh, Data Products, and modern cloud-native architecture patterns.
  • Knowledge of data privacy, security, and regulatory considerations for enterprise data
  • Experience operating critical data platforms with strong SLA's and support processes.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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