Senior / Staff Data Platform Engineer
Builds and modernizes data platform infrastructure handling billions of API calls using tools like Kinesis, S3, Athena, and Airflow. Collaborates with customers to incorporate feedback and requires experience with data stacks including Snowflake or Databricks.
About the job
Responsibilities
- Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and MongoDB (some of these need to be replaced - you'll help figure out what that looks like).
- Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.
- Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful.
Requirements
- Have experience building data infrastructure.
- Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools.
- Are interested in talking to customers or prospects and making them successful.
- Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them.
Nice-to-haves
- Are a former technical co-founder.
- Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals.
Compensation
- Base salary range: $200,000 - $300,000/year.
- Opportunity for performance bonuses and incentives.
- Stock option grants.
- 401(k) with 4% match.
- Health, dental, vision insurance (100% coverage).
- Unlimited PTO, 12 weeks paid parental leave, commuter/fitness benefits.
Skills
Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, Snowflake, ClickHouse, Databricks, DynamoDB, dbt
Similar jobs
Data Engineering jobsStaff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.
This staff-level data engineer will architect and operate low-latency market data infrastructure, including feed handling, normalization, distribution, and exchange connectivity. The role requires at least five years of backend engineering experience and strong Java or C++ expertise with high-throughput messaging and market data protocols.
Leads large-scale advertising data ingestion, measurement, and agentic workflow systems, combining deep ad-tech expertise with production LLM experience. Requires 10+ years of engineering experience and technical and people leadership in complex enterprise environments.
Staff Software Engineer responsible for architecting, building, and operating Commure’s data warehouse platform, including CDC, lakehouse, query, transformation, and analytics layers. Requires 6+ years of software engineering experience and broad expertise across modern production data infrastructure.
Senior individual contributor responsible for architecting and scaling production data ingestion systems that integrate complex enterprise sources into reliable datasets. Requires 5+ years of backend engineering experience, strong Python, cloud, Kubernetes, Postgres, and data integration expertise.