Software Engineer I (Data Eng infra)

Aurora Innovation$116K — $174K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, Engineering, or similar, or equivalent experience.
  • 1+ years of software engineering experience, focusing on data projects.
  • Proficient in at least one programming language for data engineering (e.g., Python, Go, C++).
  • Preliminary experience with big data frameworks (e.g., Apache Spark, Flink).
  • Hands-on experience with AWS, GCP, or Azure data services (e.g., S3, Redshift).
  • Strong SQL knowledge with relational and NoSQL databases.
  • Experience with data pipelines using orchestrators like Apache Airflow.

Responsibilities

  • Design and maintain scalable data pipelines and ETL/ELT processes.
  • Develop data infrastructure using AWS and infrastructure-as-code tools like Terraform.
  • Collaborate with teams to understand and build solutions for data needs.
  • Optimize data processing systems for performance and cost efficiency.
  • Implement monitoring and logging for operational stability.
  • Champion data governance, quality, and security best practices.

Benefits

  • Hybrid work environment with in-office collaboration at least 3 days a week.
  • Focus on safety, integrity, and shared goals across teams.
  • Opportunity for career growth in a forward-thinking tech company.
  • Annual bonus and equity compensation.
  • Strong company values promoting a jerk-free culture.
Full Job Description
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 $116K-$174K 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.

#LI-SP1

Working at AuroraAt 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.

About Aurora Innovation

Aurora Innovation is a technology company that develops self-driving car technology. The company was founded in 2017 by a team of experts in the field of autonomous vehicles, including former executives from Google, Tesla, and Uber. Aurora's technology is designed to enable vehicles to operate safely and efficiently in a variety of driving conditions, and the company has partnerships with a number of major automakers, including Volkswagen and Hyundai. Aurora is based in Boston, Massachusetts.
Learn more about Aurora Innovation
Size
600 employees
Market Cap
$1.3 billion
Industry
NASDAQ

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