Aurora Logo

Aurora

Senior Software Engineer (Data Engineering and Infrastructure)

Posted 29 Days Ago
Hybrid
2 Locations
146K-234K Annually
Senior level
Hybrid
2 Locations
146K-234K Annually
Senior level
Design, build, and maintain scalable data pipelines, ETL/ELT processes, data lake and warehouse infrastructure, and cloud-based data platforms. Optimize systems for performance, reliability, security, and cost while implementing monitoring, governance, and data quality practices. Collaborate cross-functionally with data scientists, analysts, engineering, and product teams to deliver reliable data solutions and improve the data ecosystem roadmap.
The summary above was generated by AI

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver 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 or follow us on LinkedIn.

 

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, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our 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 [email protected].

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.

HQ

Aurora Mountain View, California, USA Office

280 N Bernardo Ave, Mountain View, CA, United States, 94043,

Aurora San Francisco, California, USA Office

85 Bluxome St, San Francisco, United States, 94107

Similar Jobs

An Hour Ago
Remote or Hybrid
Mid level
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Develops and implements consultative and technical IT solutions for clients. Responsibilities include level-three escalation support, Microsoft and cloud environment assessments, security reviews, technology roadmaps, risk and modernization recommendations, project scoping and budgeting, and client communication. The role requires coordinating technical resolutions, managing multiple projects, and traveling approximately 15% to client locations in Pennsylvania.
Top Skills: Active DirectoryAntivirusAzure Active DirectoryCloud ApplicationsEndpoint DevicesFirewallsLocal NetworksMicrosoft 365AzureServersSharepointSwitchesVirtualized Environments
Senior level
Fintech • Financial Services
Drive commercial banking growth across Pittsburgh by acquiring and expanding middle-market client relationships. Advise CEOs, CFOs, business owners, and sponsors; structure lending, treasury, real estate financing, and other banking solutions; coordinate credit and product partners; manage pipelines; and represent Wells Fargo in the business community.
Senior level
Fintech • Financial Services
Build and manage relationships with affluent consumer and business customers through proactive outreach, discovery-based financial guidance, and tailored solutions across deposits, lending, investments, and banking services. Manage a book of business, generate referrals, coordinate with Wealth, Home Lending, and Business Banking partners, promote digital banking adoption, support branch colleagues, and maintain strong risk, compliance, and documentation standards.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account