Software Engineer, Data Analytics

Meet the team:

The Autonomy Performance team, part of the Autonomy Software division, collaborates with internal software teams and external product partners to develop requirements and metrics for our autonomy software stack. We accomplish this by extensively leveraging our data platform, sponsoring hosted workflows and analysis, and engendering data engineering best practices across our pattern teams . As a Software Engineer with a Data Analytics focus, your primary directive will be further developing our data platform and facilitating data-driven decision-making throughout the organization.

Roles & Responsibilities:

• Develop tooling and processes that accelerate the build, evaluation, and deployment of autonomy software.
• Monitor data pipeline performance, identify bottlenecks, and implement improvements to maximize throughput across all ELT/ETL stages.
• Optimize shared data analysis tools for efficiency, scalability, and reliability.
• Ensure data quality through rigorous testing and validation within CI/CD.
• Collaborate with stakeholders to establish online and offline performance metrics.
• Deliver actionable insights with reports and interactive dashboards.

Knowledge, Skills and Abilities:

• Degree in Computer Science, Analytics, Engineering or a related field.
• Experience with big data technologies (e.g., Spark, Hadoop, Hive, dbt).
• Experience with workflow orchestration tools (e.g. Airflow, Argo Workflows).
• Experience with multi-language build systems (e.g. Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in Python.
• Proficiency with SQL and/or SQL-like query languages.
• Proficiency with version control systems (e.g. Git).
• Proficiency with configuration languages (e.g. YAML. CUE).
• (Bonus) Experience with cloud platforms (e.g., AWS, Azure, GCP).