Staff Data Infrastructure Engineer

Precision Labs; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Sapiom is building the data backbone for a real-time payments platform. We are seeking an early data engineer to own end-to-end data infrastructure, define data standards, and establish governance that scales with growth.

You will shape schemas, build pipelines, and enable self-serve analytics across analytics, data science, and product teams. Ideal candidates have 5+ years turning raw data into trusted datasets, experience with SQL, Python, Spark, AWS Glue/EMR, DBT, and Airflow, and a strong

Qualifications

• 5+ years transforming raw data into governed, production-ready datasets that business teams can trust.

Responsibilities

• Own data infrastructure end-to-end: design and scale ETL pipelines.
• Define schemas that survive 10x growth and ensure data quality and governance.
• Architect standardized data models enabling self-serve AI-powered insights.
• Collaborate with Analytics, Data Science, and DevOps to keep data trustworthy and accessible.
• Instrument pipeline observability and surface key health metrics to stakeholders.

Skills

Data governance

Data quality

Ownership

Cross-functional collaboration

Communication

Tools

SQL

Python

Spark

AWS Glue

EMR

DBT

Airflow

Job description

Sapiom is building the data backbone for a real-time payments platform. We are seeking an early data engineer to own end-to-end data infrastructure, define data standards, and establish governance that scales with growth.

You will shape schemas, build pipelines, and enable self-serve analytics across analytics, data science, and product teams. Ideal candidates have 5+ years turning raw data into trusted datasets, experience with SQL, Python, Spark, AWS Glue/EMR, DBT, and Airflow, and a strong