Senior Data Engineer - Scale a Global People Data Platform

Checkr; San Francisco, Denver (CA, CO); On-site; USD 185,000 - 218,000; Full time

Benefits offered by this job

100% medical, dental, and vision

Learning and development allowance

Up to $25K reimbursement for fertility

Flexible PTO policy

Monthly wellness stipend

Job summary

Checkr is seeking a Senior Data Engineer in San Francisco to lead design and delivery of our centralized People Data platform. You will own data pipelines, including batch and streaming, ensuring fast, accurate identity and people records across Checkr’s products.

You will collaborate with engineering, product, and data teams, mentor peers, and uphold security and privacy standards while driving scalable solutions for our growing product surface.

Qualifications

• 5+ years of software engineering experience building scalable data platforms or backend services.
• Strong proficiency in Python, PySpark, and SQL with solid CS fundamentals.
• Experience building large-scale data processing pipelines (ETL/ELT, batch, stream).
• Familiarity with Kafka, Spark, Iceberg, and AWS stack (EKS, EMR, Glue, Athena, S3).
• Experience with data modeling and system architecture, ownership of full development lifecycle.

Responsibilities

• Design, build, and ship new capabilities and data pipelines for the People Data platform, from design through release.
• Lead the execution of core services with ownership, balancing speed to market with long-term scalability.
• Build and maintain large-scale data processing pipelines (batch and streaming) for identity and people records across Checkr products.
• Partner with Product and cross-functional teams to scope initiatives and shape a quarterly roadmap.
• Ensure platform availability and data accuracy via on-call rotation and proactive improvements.
• Mentor engineers and contribute to the broader engineering org through code reviews and technical discussions.

Skills

Python

PySpark

SQL

Data pipelines

Big data

MongoDB

Databricks

Snowflake

Tools

Kafka

Spark

Iceberg

AWS stack

Job description

Checkr is seeking a Senior Data Engineer in San Francisco to lead design and delivery of our centralized People Data platform. You will own data pipelines, including batch and streaming, ensuring fast, accurate identity and people records across Checkr’s products.

You will collaborate with engineering, product, and data teams, mentor peers, and uphold security and privacy standards while driving scalable solutions for our growing product surface.