Data Engineer — Real-Time Identity Graph Platform

Baselayer; San Francisco (CA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Flexible PTO

SF-based office 4 days/week

Equity

Health, dental, vision coverage

401(k) with match

Gym stipend

Job summary

Baselayer is reshaping how US business identity is verified by fusing public records, IRS data, sanctions lists, web signals, and fraud telemetry into a single, real-time graph. We’re building world-class data infrastructure and are hiring a Data Engineer to own end-to-end pipelines and models.

You’ll learn alongside senior data/ML engineers who invest in your growth, writing production code in weeks, and shipping impactful data products for a scalable trust layer.

Qualifications

• 1+ years of data engineering experience with Python and SQL.
• Experience building ETL/ELT pipelines in production.
• Knowledge of modern data stack tools (Dataflow, Spark, Airflow).
• Experience with cloud data warehouses or lakes (BigQuery, Snowflake).
• Strong data modeling and data integrity focus.

Responsibilities

• Build and maintain ETL/ELT pipelines ingesting public records, web signals, and fraud telemetry.
• Develop data models and transformations powering fraud detection, KYB, and APIs.
• Implement data quality checks, observability tooling, and alerting.
• Tune pipelines and queries for performance, freshness, and cost in our cloud data warehouse.
• Work with data scientists, ML engineers, and product to make clean data available for entity resolution and scoring.
• Help ensure pipelines meet security and regulatory standards (SOC 2, GDPR, KYC/KYB).
• Document what you build and translate between technical and non-technical stakeholders.

Skills

Python

SQL

Data modeling

Data integrity

Cloud-native data platforms

Tools

Dataflow

Spark

Airflow

BigQuery

Snowflake

Pub/Sub

Kafka

Job description

Baselayer is reshaping how US business identity is verified by fusing public records, IRS data, sanctions lists, web signals, and fraud telemetry into a single, real-time graph. We’re building world-class data infrastructure and are hiring a Data Engineer to own end-to-end pipelines and models.

You’ll learn alongside senior data/ML engineers who invest in your growth, writing production code in weeks, and shipping impactful data products for a scalable trust layer.