Data Engineer Jobs in Texas
Data Engineer jobs in Texas are in high demand, with the market concentrated in enterprise technology, energy, financial services, and healthcare across roles from junior data engineer through principal and staff-level positions. The busiest hiring metros are Austin, Dallas, and Houston, where companies like Dell Technologies, American Airlines, and ExxonMobil maintain large data and analytics teams. The most sought-after specialties in Texas are cloud data pipeline engineering, real-time streaming, and data platform architecture. Find a role that fits below and apply directly.
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Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
See All 435+ Data Engineer Jobs in Texas
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Find Data Engineer JobsData Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Amazon23
- AMD9
- JPMorganChase9
- Sundt8
- Tesla8
Top Industries Hiring
- Technology & Software28
- Consulting & Professional Services5
- Retail3
- Staffing & Recruiting3
- E-Commerce & Online Marketplaces3
What Texas Employers Look For
The qualifications that appear most often in data engineer jobs across Texas.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Proficiency in Python or Scala alongside SQL for data pipeline development
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Experience building and maintaining ETL or ELT pipelines at production scale
- Familiarity with distributed processing frameworks like Apache Spark or Kafka
- Strong grasp of data modeling principles and modern data warehouse tools like Snowflake or BigQuery
Data Engineer Jobs in Texas: Frequently Asked Questions
How do you become a data engineer in Texas?
Data engineering in Texas has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skills. Most Texas employers expect a bachelor's degree in computer science, information systems, or a related field, though strong candidates with associate degrees and robust portfolios do get hired. Building hands-on experience with cloud platforms, SQL, and pipeline tools, and earning vendor certifications from AWS, Google, or Microsoft, strengthens a Texas application significantly.
Which companies hire data engineers in Texas?
Employers hiring data engineers in Texas right now include Amazon, AMD, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Texas's concentration of energy, financial services, and technology headquarters means demand is distributed across multiple industries rather than clustering in a single sector.
Which Texas cities have the most data engineer jobs?
Austin, Dallas, and Houston have the most data engineer openings in Texas. Austin's growth as a technology hub drives demand there, while Dallas is anchored by major financial services and telecom employers, and Houston's energy sector generates consistent need for engineers who can handle large-scale operational and sensor data pipelines.
Are there remote data engineer jobs in Texas?
Yes, and more than most fields. About 68% of data engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how thoroughly the work is conducted through cloud platforms and collaborative tooling rather than on physical infrastructure. Pipeline development, data modeling, and analytics engineering roles are the most consistently offered as fully remote positions.
How can I get hired as a data engineer in Texas with little or no experience?
The most realistic entry path is moving laterally from a data analyst, BI developer, or database administrator role into engineering responsibilities, which large Texas employers like Dell Technologies, USAA, and Texas Instruments actively support through internal mobility. Many Texas-based companies and university systems also offer new-graduate rotational programs in data and analytics. Building a public portfolio of pipeline projects on cloud infrastructure, plus earning an entry-level AWS or Google Cloud certification, gives candidates a clear edge in the Texas market.
Where can I find and apply to data engineer jobs in Texas?
You can find and apply to data engineer jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
See All 435+ Data Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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