Procurement Sciences is seeking a Data Engineer to build customer and backend pipelines, design and implement greenfield orchestrated data systems, including data ingestion from the product and building Source of Truth customer and finance tables. The role will own the design, implementation and iterative improvement of all data and how it gets used by various cross functional teams, impacting product performance by providing data to build and train recommendation and search models, maintaining product data flows, and servicing the needs of finance and ops.
Requirements
- 5+ years building production data pipelines with real user data at scale
- Deep SQL and Python expertise
- Experience with modern data stack BigQuery (or Snowflake/Redshift), dbt or similar transformation tools, orchestrators like Airflow or Dagster
- Track record of architectural thinking making design decisions that lasted and can articulate the tradeoffs
- Experience with event-driven architectures (Kafka, Pub/Sub, SQS) and streaming vs. batch tradeoffs
- Familiarity with foundation model APIs (OpenAI, Anthropic, etc.) and vector database
- GCP ecosystem familiarity: BigQuery optimization, Cloud Functions, Dataflow, Vertex AI
Responsibilities
- Build, deploy, and maintain production data ingestion on top of our data platform.
- Design and implement feature engineering and source of truth tables for finance and product usage metrics.
- Lay the foundation for a future analytics team to empower the business to make data driven decisions and fast experimental iteration.
- Collaborate with ML and engineering teams to support the needs to train large scale models for in production use.
Other
- U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification.
- While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred.
- Competitive salary with stock options in a rapidly growing, venture-backed company.
- Comprehensive health plan, ensuring you and your loved ones are well taken care of.
- Flexible work arrangements, including full remote work capabilities, to balance your professional and personal life.
