Data Science Engineer Jobs in Austin, TX
Data Science Engineer jobs in Austin, Texas are concentrated in the Domain, Downtown, and the East Austin tech corridor, with strong demand across enterprise tech, financial services, and healthcare analytics. Companies actively posting right now include Apple, Amazon, and DoorDash. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
The Measurement and Data Science (MADS) Reporting User Experience team owns the software that hundreds of thousands of advertisers use to manage their advertising strategies across Amazon Ads. These tools are also a fast-evolving fabric enabling rapid development by teams across Ads. You'll adopt AI-first SDLC practices, interface with external systems, and build architectures that are exemplary in robustness, stability, and scalability. You'll collaborate with software leaders, product leaders, and senior engineers to deliver innovative products our global customers use daily — with the opportunity to expand your technical skills into emerging technologies.
Key job responsibilities
- Design and build experiences that enable advertisers to optimize their campaigns through intelligent, autonomous systems
- Build high-volume, scalable systems that interface with external systems and make independent decisions in real-time
- Define architectural strategy and lead the design of software systems exemplary in robustness, stability, and scalability
- Adopt AI-first SDLC practices to accelerate development and delivery across the team
- Collaborate with software leaders, product leaders, and engineering peers to deliver innovative ads products used by global customers daily
- Contribute to the fast-evolving platform fabric that enables rapid development by teams across Amazon Ads
- Dive deep into complex problems and deliver solutions that directly improve the advertiser experience
A day in the life
Great candidates for this role enjoy being challenged with discovering solutions to complex problems, diving deep, and thinking big to deliver amazing results for our customers. They enjoy defining architectural strategy, working collaboratively, and take pride in solving customer problems. Most important, they will work shoulder-to-shoulder with other senior engineers, product leaders, and software development managers to deliver truly innovative software.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Retail
- Banking & Financial Services
- E-Commerce & Online Marketplaces
Data Science Engineer Jobs in Austin: Frequently Asked Questions
How do I get a data science engineer job in Austin?
The strongest path into Austin's data science engineering market runs through its enterprise technology and financial services sectors, which cluster in the Domain and Downtown. Employers here consistently look for candidates with production ML experience, familiarity with cloud platforms like AWS or Azure, and the ability to work across engineering and analytics teams. Contributing to Austin's active open-source and data meetup scene can open doors that a resume alone won't.
Which companies hire data science engineers in Austin?
Employers hiring data science engineers in Austin right now include Apple, Amazon, and DoorDash, based on current listings on Migrate Mate as of August 2026. Austin's hiring base is a mix of global tech firms with large local campuses, homegrown fintech and healthtech companies, and mid-size software businesses that have relocated to the city from the coasts.
Are there remote data science engineer jobs in Austin?
Yes, data science engineering is one of the more remote-compatible technical roles because most core work happens at a computer rather than on-site. About 50% of data science engineer openings tied to Austin are remote or hybrid as of August 2026, making it a strong market for flexible arrangements. Model development, pipeline work, and data exploration are the tasks most commonly performed fully remotely by Austin-based teams.
How can I get a data science engineer job in Austin with little or no experience?
The most realistic entry path in Austin is landing a data analyst or junior ML engineer role at one of the city's mid-size software or fintech companies, where team sizes are smaller and early-career contributors take on broader responsibilities faster. Austin Community College and UT Austin's continuing education programs give local candidates credentials that Austin employers recognize. Building a public portfolio on GitHub with projects using real datasets is the single differentiator that moves entry-level candidates to the top of local shortlists.
Which industries hire the most data science engineers in Austin?
Most data science engineer openings in Austin sit in Technology & Software, Electronics & Hardware, and Retail, per current listings on Migrate Mate as of August 2026. Austin's decades-long growth as a technology hub, combined with the expansion of financial services and healthcare companies into the city, has created consistent and layered demand for data science engineers across multiple sectors simultaneously.
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