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

- Health benefits (medical, dental, vision)

- Flexible PTO

- Company-paid holidays

- Travel opportunities to work with the team