Cloud Data Engineer Jobs in Texas
Cloud Data Engineer jobs in Texas are among the most active in the country, concentrated in energy analytics, financial services, healthcare informatics, and enterprise technology with openings at every level from junior to principal engineer. Austin, Dallas, and Houston account for the bulk of hiring, where companies like Dell Technologies, ExxonMobil, and JPMorgan Chase have deep and lasting cloud data engineering teams. The most in-demand specialties are data pipeline architecture, cloud-native warehousing on platforms like Snowflake and BigQuery, and real-time streaming with Apache Kafka. Find a role that fits below and apply directly.
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Job Description
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 successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.
The Role
We are seeking entry-level Software Engineers to join teams across GM’s Data Software Engineering and Cloud organizations. In these roles, you will contribute to the development, deployment, and support of reliable, scalable data platforms and cloud services that enable business-critical products, applications, analytics, and engineering workflows. You will work alongside experienced software, data, and cloud engineers to build services and
tools for data ingestion, processing, storage, serving, and platform automation. This is an opportunity to grow your software-engineering skills while gaining hands-on experience with distributed systems, cloud infrastructure, and large-scale data platforms.
- Contribute to the development, deployment, and improvement of data and cloud services.
- Learn and apply operational-excellence practices, including service-level objectives and indicators, monitoring, alerting, troubleshooting, and incident response.
- Collaborate with software, data, ML, and cloud engineers to understand user needs, translate requirements into technical solutions, and help build self-service capabilities.
- Implement features and technical projects from design through testing, deployment, and support, with guidance from senior team members.
- Participate actively in sprint planning, code reviews, design discussions, documentation, and retrospectives.
- Write maintainable, well-tested code and help improve the reliability, performance, cost efficiency, and usability of team services.
- Develop familiarity with cloud infrastructure, deployment automation, observability, and the full operational lifecycle of production systems.
- Build knowledge of the tools, architectures, and data workflows that support our technology ecosystem.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
- 0–2 years of software-engineering experience, including internships, co-op experience, academic projects, or equivalent hands-on work.
- Foundational proficiency in at least one programming language such as Java, C++, Go, or Python.
- Understanding of software-engineering fundamentals, including data structures, algorithms, testing, version control, and code review.
- Familiarity with developing or supporting services, applications, or data-processing systems.
- Exposure to at least one major public cloud provider, such as Azure, GCP, or AWS, through coursework, projects, internships, or professional experience.
- Strong problem-solving, communication, collaboration, and learning skills.
- Interest in contributing to reliable, scalable systems and supporting services in a production environment.
- Familiarity with distributed systems, APIs, microservices, containers, or cloud-native development.
- Exposure to deployment automation, monitoring, logging, metrics, or other
- Academic, internship, or personal-project experience related to autonomous vehicles, robotics, machine learning, or large-scale data platforms.
- The salary range for this role is from $84,900 - $130, 500. The actual base salary a successful candidate will be offered within this 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.
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, email us 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.
Job Description
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 successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.
The Role
We are seeking entry-level Software Engineers to join teams across GM’s Data Software Engineering and Cloud organizations. In these roles, you will contribute to the development, deployment, and support of reliable, scalable data platforms and cloud services that enable business-critical products, applications, analytics, and engineering workflows. You will work alongside experienced software, data, and cloud engineers to build services and
tools for data ingestion, processing, storage, serving, and platform automation. This is an opportunity to grow your software-engineering skills while gaining hands-on experience with distributed systems, cloud infrastructure, and large-scale data platforms.
- Contribute to the development, deployment, and improvement of data and cloud services.
- Learn and apply operational-excellence practices, including service-level objectives and indicators, monitoring, alerting, troubleshooting, and incident response.
- Collaborate with software, data, ML, and cloud engineers to understand user needs, translate requirements into technical solutions, and help build self-service capabilities.
- Implement features and technical projects from design through testing, deployment, and support, with guidance from senior team members.
- Participate actively in sprint planning, code reviews, design discussions, documentation, and retrospectives.
- Write maintainable, well-tested code and help improve the reliability, performance, cost efficiency, and usability of team services.
- Develop familiarity with cloud infrastructure, deployment automation, observability, and the full operational lifecycle of production systems.
- Build knowledge of the tools, architectures, and data workflows that support our technology ecosystem.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
- 0–2 years of software-engineering experience, including internships, co-op experience, academic projects, or equivalent hands-on work.
- Foundational proficiency in at least one programming language such as Java, C++, Go, or Python.
- Understanding of software-engineering fundamentals, including data structures, algorithms, testing, version control, and code review.
- Familiarity with developing or supporting services, applications, or data-processing systems.
- Exposure to at least one major public cloud provider, such as Azure, GCP, or AWS, through coursework, projects, internships, or professional experience.
- Strong problem-solving, communication, collaboration, and learning skills.
- Interest in contributing to reliable, scalable systems and supporting services in a production environment.
- Familiarity with distributed systems, APIs, microservices, containers, or cloud-native development.
- Exposure to deployment automation, monitoring, logging, metrics, or other
- Academic, internship, or personal-project experience related to autonomous vehicles, robotics, machine learning, or large-scale data platforms.
- The salary range for this role is from $84,900 - $130, 500. The actual base salary a successful candidate will be offered within this 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.
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, email us 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.
See All 23 Cloud Data Engineer Jobs in Texas
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Find Cloud Data Engineer JobsCloud Data Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Cloud Data Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Science & Research
- Hospitality & Tourism
- Investment & Asset Management
What Texas Employers Look For
The qualifications that appear most often in cloud data engineer jobs across Texas.
- Bachelor's degree in computer science, data engineering, information systems, or a related field
- Hands-on experience with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Proficiency in Python or SQL for building and maintaining data pipelines and ETL workflows
- Experience designing and optimizing data warehouses using tools like Snowflake, Redshift, or BigQuery
- Familiarity with orchestration frameworks such as Apache Airflow, dbt, or similar pipeline management tools
- Strong understanding of data modeling, schema design, and distributed data storage architectures
Cloud Data Engineer Jobs in Texas: Frequently Asked Questions
How do you become a cloud data engineer in Texas?
Cloud data engineering in Texas has no state-issued license or registration requirement, so the path runs through education and vendor credentials. Most Texas employers expect a bachelor's degree in computer science, data engineering, or a related discipline, paired with certifications from AWS, Microsoft Azure, or Google Cloud. Building a portfolio of pipeline and warehousing projects on GitHub and targeting entry-level data engineer or data analyst roles at Texas technology, energy, or financial services firms is the most direct route.
How much do cloud data engineers make in Texas?
Cloud data engineers in Texas earn a median of about $151,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $92,890 for the lowest 10% to over $200,390 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire cloud data engineers in Texas?
Employers hiring cloud data engineers in Texas right now include Google, General Motors (GM), and PNC Financial Services, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy conglomerates, major financial institutions, and large enterprise technology firms means sustained, recurring demand rather than hiring tied to a single funding cycle.
Which Texas cities have the most cloud data engineer jobs?
Austin, Dallas, and Spring have the most cloud data engineer openings in Texas. Austin's dense technology sector and corporate headquarters drive most of that city's postings, Dallas benefits from a large concentration of financial services and telecom firms, and Houston's energy industry and sprawling medical center generate consistent demand for engineers who can handle large-scale operational and research data.
Are there remote cloud data engineer jobs in Texas?
Yes, and more than most fields. Cloud data engineering is inherently infrastructure-independent work, making it one of the more remote-compatible technical disciplines. About 67% of cloud data engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting how broadly employers have accepted distributed teams for this role. Pipeline development, warehousing work, and data modeling are the functions most consistently offered on a fully remote basis.
How can I get hired as a cloud data engineer in Texas with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence analyst role, where SQL skills and familiarity with cloud dashboards translate directly into junior engineering work. Large Texas employers in energy and healthcare, including firms anchored in Houston's medical center and Dallas's financial district, regularly hire associate data engineers willing to train on their internal stack. Earning an AWS Cloud Practitioner or Azure Fundamentals certificate and publishing a capstone pipeline project on GitHub gives candidates a concrete edge when competing for those associate-level openings.
Where can I find and apply to cloud data engineer jobs in Texas?
You can find and apply to cloud data engineer jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find the roles that fit your background and apply directly through the listings on this page.
See All 23 Cloud Data Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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