Data Engineer Jobs in Austin, TX
Data Engineer jobs in Austin, Texas are in high demand, with openings concentrated downtown, in the Domain, and in the East Austin tech corridor across cloud infrastructure, fintech, and health tech. Employers hiring right now include Apple, Amazon, and AMD. Scan the live roles below and apply to whichever ones fit.
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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 Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Job Market in Austin
Who's Hiring
- Apple104

- Amazon65

- AMD29

- General Motors (GM)25

- Infosys11

Top Industries Hiring
- Electronics & Hardware40
- Technology & Software29
- Retail14
- E-Commerce & Online Marketplaces14
- Staffing & Recruiting11
Data Engineer Jobs in Austin: Frequently Asked Questions
How do I get a data engineer job in Austin?
Target Austin's most active hiring sectors: cloud-native tech companies, fintech firms, and health tech employers clustered downtown and in the Domain. Hands-on experience with pipeline tooling like dbt, Spark, or Airflow stands out here. Contributing to open-source projects, attending Austin data meetups, and building a portfolio with real datasets gives you a concrete edge over candidates with resume credentials alone.
Which companies hire data engineers in Austin?
Austin data engineer roles are posted by Apple, Amazon, and AMD and others right now, based on current listings on Migrate Mate as of September 2026. Austin's market draws a mix of homegrown tech companies, major enterprise employers with regional headquarters, and fast-growing startups across fintech and digital health.
Are there remote data engineer jobs in Austin?
Yes, and data engineering is one of the more remote-friendly technical roles since the work is largely analytical and tool-driven rather than on-site. About 72% of data engineer openings tied to Austin are remote or hybrid as of September 2026, reflecting how widely distributed data teams have become. Pipeline development, data modeling, and analytics engineering are the functions most commonly offered fully remote by Austin employers.
How can I get a data engineer job in Austin with little or no experience?
The most realistic entry path in Austin is targeting junior data analyst or analytics engineer roles at mid-size tech and SaaS companies, which routinely hire candidates who can demonstrate SQL fluency and basic pipeline work. Austin's bootcamp ecosystem and UT Austin extension programs produce candidates employers recognize, giving local grads a familiarity advantage. Building a portfolio with public datasets and cloud tools like BigQuery or Snowflake closes the experience gap faster than additional credentials alone.
Which industries hire the most data engineers in Austin?
Austin data engineer roles concentrate in Electronics & Hardware, Technology & Software, and Retail, based on current listings on Migrate Mate as of September 2026. Austin's growth as a cloud and fintech hub, combined with a strong health tech presence, keeps demand for data infrastructure talent consistently high across those sectors.
See All 414+ Data Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
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