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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About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
As a Senior Consultant Data Engineer, you'll join our Value Added Services – Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily.
You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services
These services are designed to be highly available, secure, scalable, and resilient.
You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days.
This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role.
If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you
Essential Functions:
You’ll be the face of the team representing us in various technical forums.
You’ll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value.
You’ll analyze business requirements and architect highly secure, robust, and scalable solutions.
You’ll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement.
You’ll champion efforts to architect, design and implement various components of our global transaction processing systems.
Your DNA will include following and creating software best practices and processes.
You’ll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability.
You’ll play key role in meetings and discussions with cross-functional and non-technical teams.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.Qualifications
- 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
Preferred Qualifications
- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
- Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications.
- Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL.
- Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models.
- Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models.
- Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates)
- Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools.
- Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases.
- Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability.
- Ability to manage component security analysis and collaborate with security teams.
- Strong work ethic, focus on immediate goals, and proven experience as a technical leader.
- Passion for mentoring juniors and helping them reach new heights.
- Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems.
- Excellent communication and interpersonal skills, and a strong team player.
Information for US Applicants
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.See All 414+ Data Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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
- Apple31

- Amazon23

- Sundt13

- JPMorganChase10

- AMD9

Top Industries Hiring
- Technology & Software37
- Electronics & Hardware12
- Construction & Real Estate8
- Banking & Financial Services8
- Consulting & Professional Services7
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 Apple, Amazon, and Sundt, based on current listings on Migrate Mate as of September 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 65% of data engineer openings tied to Texas are remote or hybrid as of September 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 414+ Data Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Engineer Jobs