Software Engineer; Data Eng infra

Responsibilities

• 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
• 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

• Experience with building and managing data pipelines using an orchestrator like Apache Airflow
• Ability to systematically approach open‑ended questions to identify pragmatic data solutions that scale
• Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, Big Query, Glue)
• 1+ years of recent professional experience in software engineering, with a focus on data‑related projects
• Preliminary experience with big data processing frameworks like Apache Spark, Flink, Kinesis Data Stream, or similar technologies
• Ability to work effectively in a highly cross‑functional, fast‑moving and high‑stakes environment
• Strong knowledge of SQL and experience working with relational and No
  
  SQL databases
• Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++)
• Proven ability to communicate technical, data‑driven solutions to both technical and non‑technical audiences across stakeholders
• Preliminary knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Experience with data warehousing solutions like Snowflake or data lake architectures
• Familiarity with modern data stack tools and practices
• Experience using Amazon Web Services (AWS) tools
• A passion for building elegant, scalable, and maintainable systems