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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer I (Data Eng infra) - **Company:** Aurora Innovation, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Starter - **Salary:** $116,000.0 - $174,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, BigQuery, C++ (Programming Language), Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Python (Programming Language), NoSQL, Standard Sql, Software Engineering, Data Streaming, Data Logging, Data Processing, Snowflake, Apache Spark, Data Lakes, Core Data, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Data Analytics, Data Management, Terraform, Data Pipelines, Amazon Redshift - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=490f497f5639497d ## About the Role * 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, * 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 ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)