Senior Software Engineer (Data Engineering and Infrastructure)

Aurora Innovation; Pittsburgh (Allegheny County); On-site; USD 146,000 - 234,000; Full time

Job summary

Aurora Innovation in Pittsburgh is seeking a Software Engineer focused on Data Engineering & Infrastructure to design, build, and maintain scalable data pipelines and ETL processes across sources to the data warehouse.

You will work with AWS, Terraform, Airflow, and data platforms, collaborating with data scientists and product teams to implement reliable, cost-efficient data solutions while upholding data governance and security.

Qualifications

• Master’s degree or equivalent practical experience in CS/Engineering.
• 5+ years of software engineering with a focus on data projects.
• Proficiency in Python, Go or C++ for data tasks.

Responsibilities

• Design, build, and maintain robust data pipelines and ETL/ELT processes.
• Develop and manage data infrastructure components using AWS and IaC tools like Terraform.
• Collaborate with data scientists, analysts, analytics engineers, and product teams.

Skills

Data engineering

Python

Go

C++

SQL

ETL/ELT pipelines

Education

Master’s degree in CS/Engineering

Equivalent practical experience

Tools

Presto/Trino

EMR

Spark

Flink

Kinesis

Terraform

DBT

Airflow

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.

Position

Software Engineer – Data Engineering & Infrastructure

Responsibilities

• 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

Desired 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

Compensation

The base salary range for this position is $146K-$234K 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.

EEO & Inclusion Statement

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.