Senior Software Engineer (Data Engineering and Infrastructure)
Aurora Innovation
Listing collected from Aurora Innovation's career site. NextChapter is independent of Aurora Innovation.
Pittsburgh, PA · Posted August 4, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Aurora Innovation
More in Pennsylvania job market · All Senior Software Engineer jobs (2,547) · Technology & Software · Data & Analytics jobs
More roles at Aurora Innovation
- Staff Technical Program Manager, Hardware NPI Test · Mountain View, CA
- Staff NPI Engineer · Mountain View, CA
- Head of People Technology · Mountain View, CA
- Staff Program Manager, Cost Out & Productivity · Coppell, TX
- Senior Software Engineer, Motion Controls · Mountain View, CA
- Staff Software Engineer, Deep Learning Acceleration · Mountain View, CA
Similar jobs
- Software Engineer · Ametek Inc/ · Harleysville, PA
- Embedded Systems Engineer · Trane U.s. · York, PA
- Lead Embedded Electronics Engineer · LNW Gaming · Las Vegas, NV
- Senior Software Engineer · Elite Pharmaceuticals
- Senior Software Engineer - WGU Labs · Wgu · Raleigh, NC
- Senior Specialist Software Engineer · Flightsafety Defense · Broken Arrow, OK
Where Pittsburgh, PA ranks
Where Pittsburgh, PA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best all-round cities for new graduates in the Northeast66 / 100 · of 26
- #3Best cities for software and engineering jobs in the Northeast327 openings · of 52
- #3Best all-round cities for new graduates in the Mid-Atlantic65 / 100 · of 37
- #4Cities with the most jobs that do not need a four-year degree in the Northeast154 jobs · of 36
- #4Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic154 jobs · of 47
- #4Cities hosting the most business conferences in the Northeast14 conferences · of 9
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 1,167 open senior software engineer listings that state pay, the middle half runs $166,000 to $222,000 and the median is $197,000.
Listed pay is what employers advertise, not what people are paid.
Senior Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver https://aurora.tech will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech http://aurora.tech or follow us on LinkedIn https://www.linkedin.com/company/auroradriver.
What we are looking for
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be a key contributor to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.
In this role, you will
- Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.
- Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.
- Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.
- Optimize data processing systems for performance, reliability, and cost-efficiency.
- Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.
- Champion best practices in data governance, data quality, and security.
- Work closely with other senior team members and management to improve the data ecosystem toolings, refine user experience, and continuously polish team roadmap.
Required Qualifications
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of professional experience in software engineering, with a focus on data-related projects.
- Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).
- Solid experience with big data processing frameworks like Presto/Trino, EMR, Apache Spark, Flink, Kinesis Data Stream, or similar technologies.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).
- Strong knowledge of SQL and experience working with relational and NoSQL databases.
- Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools
- Experience with building and managing data pipelines using an orchestrator like Apache Airflow.
- Able to systematically approach open-ended questions to identify pragmatic data solutions that scale
- Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment
- Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders
Desirable Qualifications
- Experience with AI toolings, LLM and agentic frameworks
- Experience with data warehousing solutions like Snowflake or data lake architectures.
- Familiarity with modern data stack tools and practices.
- A passion for building elegant, scalable, and maintainable systems.
- Experience using Amazon Web Services (AWS) tools
The base salary range for this position in Pittsburgh, PA is $146K-$234K per year and in Mountain View, CA is $162K-260K. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#LI-SP1
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.
Our Careers page https://aurora.tech/careers provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom https://aurora.tech/newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.