Software Engineer I (Data Eng infra)

AURORA; Mountain View (CA); Hybrid; USD 116,000 - 174,000; Full time

Benefits offered by this job

Annual bonus

Equity compensation

Benefits

Job summary

Aurora is seeking a talented Software Engineer to join our data engineering and infrastructure team. You will design and maintain scalable data pipelines, build data lake/warehouse infrastructure, and work with ETL/ELT processes to support data-driven insights and product innovation.

You will collaborate with data scientists, analysts, autonomy engineering, and product teams to understand data needs and deliver reliable, secure data solutions at massive scale.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 1+ years of professional experience in software engineering, with a focus on data-related projects.
• Proficiency in Python, Go or C++.
• Experience with big data processing frameworks (Spark, Flink, Kinesis, etc.).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data services (S3, Redshift, BigQuery, Glue).
• Strong knowledge of SQL and relational/NoSQL databases.
• Experience with DBT and visualization tools.
• Experience with Apache Airflow for orchestration.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes into our data warehouse.
• Develop and manage data infrastructure components using AWS and Terraform.
• Collaborate with data scientists, analysts, and product teams to meet data needs.
• Optimize data processing for performance, reliability, and cost-efficiency.
• Implement monitoring, logging, and alerting for data pipelines and infra.

Skills

Python

Go

C++

SQL

Airflow

AWS

Terraform

Education

Bachelor's degree in Computer Science or related field

Tools

Data pipelines

Job description

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 working with our seasoned engineers and contribute 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.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 1+ years of recent 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++).
• Preliminary experience with big data processing frameworks like 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.
• Preliminary 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 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 wage range for this position is $116,000 - $174,000 per year. 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.

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 [e-mail].

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.