Staff Software Engineer, Data Systems (Python)

Build the data systems behind a category\-leading marketing intelligence platform trusted by  **800\+ companies** , where multi\-touch attribution and media mix modeling run on  **first\-party data**  and high\-throughput integrations. Our Client builds a data and analytics platform that gives e\-commerce teams a unified view of performance through attribution modeling and dashboards. This is fundamentally a data product: the quality, reliability, and scalability of ingestion and transformation directly determine customer value. They’re hiring a  **Staff Software Engineer, Data Systems (Python)**  to own critical parts of the data platform end\-to\-end—pipelines, integrations, architecture, and operational excellence—working closely with product and engineering stakeholders. **What you’ll work on** \- Design, build, and maintain large\-scale data ingestion and processing pipelines. \- Own integrations across APIs, file\-based inputs, and configurable customer data sources. \- Work closely with product managers, product engineers, and customer\-facing teams to turn customer needs into scalable data solutions. \- Lead technical design decisions and influence long\-term data architecture and best practices. \- Optimize data pipelines for reliability, maintainability, and cost efficiency. \- Integrate data systems with machine learning and analytics workflows. \- Maintain and evolve the infrastructure required to scale the data platform. \- Write clear technical documentation for internal and external stakeholders. **Your impact** \- Provide technical leadership and mentorship to other engineers. \- Drive architectural improvements across data and platform systems. \- Own data and infrastructure engineering efforts end\-to\-end, from concept to production. \- Ensure high data quality, observability, and operational reliability. **Required experience** \- Strong understanding of real\-time and batch data processing for transactional and analytical workloads. \- Proficiency with  **Python**  and  **SQL** . \- Experience designing and operating high\-performance systems with robust monitoring and logging. \- Familiarity with data pipeline orchestration tools and best practices. \- Experience working across cross\-functional teams. \- Typically  **8\+ years of experience**  in data, backend, or platform engineering roles. **Bonus skills** \- Experience with tools such as  **BigQuery, Airflow, dbt, Kafka, Spark, Pinot** . \- Background in marketing tech, e\-commerce, or ad\-tech platforms. \- Experience with cloud platforms such as  **GCP, AWS, or Azure** . \- Exposure to or interest in  **infrastructure\-as\-code** . **Benefits** \- Competitive base salary \- Flexible PTO \- Company\-paid holidays \- Travel opportunities to work with the team