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$133k–$189k/yr
Full-time
bachelor degree
Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Retirement Savings Plan
Posted 44d ago
~40 hrs/week
Responsibilities
Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support manufacturing and enterprise data. Operationalize ML workflows and implement CI/CD pipelines for data products and model lifecycle management.
Requirements
Requires 5+ years of relevant experience and a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Proficiency in Scala, Python, SQL, Spark, and Databricks is essential for production-quality software engineering.
Full job description
Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
What You’ll Do
Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support ingestion, transformation, curation, and delivery of manufacturing and enterprise data.
Build reusable Bronze, Silver, and Gold data pipelines, data quality frameworks, and governed data products in Unity Catalog.
Build and operationalize ML workflows for data preparation, feature engineering, model training, evaluation, deployment, batch scoring, retraining, and inference.
Establish and maintain MLflow-based model lifecycle controls, including experiment tracking, model registration, versioning, lineage, traceability, and controlled promotion across environments.
Implement CI/CD pipelines for data products, ML code, workflows, and deployment bundles using Git-based development practices, automated testing, and release automation.
Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption.
Improve reliability, observability, and production readiness through testing, monitoring, validation, alerting, documentation, and automation that reduce deployment risk and manual intervention.
Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and business stakeholders to productionize scalable, supportable solutions aligned to production constraints.
Support modernization of legacy data and ML workflows into standardized cloud-native Databricks patterns and help bridge proof-of-concept work into repeatable production solutions.
Your Skills & Abilities (Required Qualifications)
5+ years of relevant full-time experience; or equivalent knowledge
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
Experience deploying machine learning models into production environments and supporting model development through operational release.
Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
Experience building CI/CD pipelines with Git-based workflows, automated testing, and deployment of data or ML products.
Strong troubleshooting, communication, and cross-functional collaboration skills.
What Can Give You a Competitive Advantage (Preferred Qualifications)
Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data pipeline environments.
Experience with model governance, lineage, reproducibility, monitoring, validation checks, and operational observability.
Experience designing resilient pipelines that can handle changing upstream data conditions, retraining needs, and production operations.
Experience with manufacturing, industrial IoT, plant-floor data, quality, or manufacturing analytics use cases.
Experience helping transition PoC or R&D solutions into scalable production-ready patterns.
This job may be eligible for relocation benefits.
Compensation:
The expected base compensation for this role is: $133,000 - $188,600. Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
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.
Amazing people make amazing products. And together, we build the one for every person, purpose and journey.
Industry
Motor Vehicle Manufacturing
Company size
10,001+ employees
Headquarters
Detroit, Michigan
LinkedIn followers
3,604,283
Total funding
$8.5B
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.
For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html
Offices: 100 Renaissance Center, Detroit, Michigan 48243, US · P.O. Box 33170, Detroit, Michigan 48232-5170, US · 800 N Glenwood Ave, Pontiac, MI 48340, US · Avenida Americo Vespucio 811, Huechuraba, Santiago Metropolitan 8580000, CL · 500 Wentworth St W, Oshawa, Ontario L1J 6G5, CA
Based on 2719 listings with disclosed salaries, most technology jobs in Austin, TX pay between $79k–$224k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Austin, TX right now?
There are currently 4,889 open technology positions in Austin, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Austin, TX?
Companies currently hiring include Amazon, Applied Materials, Fluidstack, AMD, Apple, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Austin, TX?
Yes — 1944 of the 4889 open technology positions offer remote or hybrid work (556 remote, 1388 hybrid).
How do I apply for Technology jobs in Austin, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.