Real-time Data Engineer for Identity Graph Platform

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

Benefits offered by this job

Health insurance

Dental coverage

Vision coverage

401(k) match

HSA contributions

Gym stipend

Equity

Job summary

Baselayer is building the most comprehensive identity graph for US businesses and is hiring a Data Engineer to help build and run production pipelines turning messy, heterogeneous data into trustworthy signals.

You will own end-to-end pipelines, write production code in your first weeks, and learn from senior data and ML engineers who invest in your growth. This role is ideal for an early-career engineer eager to contribute.

Qualifications

• 1+ years of data engineering experience with Python and SQL.
• Production ETL/ELT pipelines experience.
• Familiar with modern data stack tooling and cloud data warehouses.

Responsibilities

• Build and maintain ETL/ELT pipelines ingesting public records, web signals, and fraud telemetry.
• Develop data models and transformation layers powering fraud detection and APIs.
• Implement data quality checks, observability, and alerting.
• Tune pipelines for performance, cost, and freshness.
• Collaborate with data scientists and product teams to enable entity resolution.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

Cloud-native data platforms

Tools

Dataflow

Spark

Airflow

BigQuery

Snowflake

Job description

Baselayer is building the most comprehensive identity graph for US businesses and is hiring a Data Engineer to help build and run production pipelines turning messy, heterogeneous data into trustworthy signals.

You will own end-to-end pipelines, write production code in your first weeks, and learn from senior data and ML engineers who invest in your growth. This role is ideal for an early-career engineer eager to contribute.