Data Infrastructure Engineer for Scalable AI Analytics

Sapiom, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Sapiom, Inc. is seeking an early data engineer to own the data infrastructure end-to-end for a payments platform. You will design and scale ETL pipelines, define robust schemas, and establish governance standards to support 10x growth.

You’ll build standardized data models that empower Analytics, Data Science, and product teams to move fast with trusted data. Collaborating closely with Data Science, Analytics, and DevOps, you’ll maintain pipeline health, observability, and security while

Qualifications

• 5+ years transforming raw data into governed, production-ready datasets.
• Experience building production data pipelines with SQL, Python, Spark, and AWS tools.
• Strong collaboration with Engineering, Analytics, Data Science and DevOps teams.

Responsibilities

• Build, scale, and maintain production ETL pipelines with clear SLAs.
• Design scalable data schemas and governance models for growth.
• Own data quality, security, and schema design across the platform.
• Develop self-serve data models enabling AI-powered analytics.
• Instrument observability and surface health metrics to key teams.
• Partner with Data Science, Analytics, and DevOps to drive data initiatives.

Skills

SQL

Python

Spark

AWS Glue

EMR

DBT

Airflow

Snowflake

Redshift

Teradata

Data governance

Job description

Sapiom, Inc. is seeking an early data engineer to own the data infrastructure end-to-end for a payments platform. You will design and scale ETL pipelines, define robust schemas, and establish governance standards to support 10x growth.

You’ll build standardized data models that empower Analytics, Data Science, and product teams to move fast with trusted data. Collaborating closely with Data Science, Analytics, and DevOps, you’ll maintain pipeline health, observability, and security while