Senior Engineering Manager, Big Data, Checkr

Checkr

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

238000.00 - 280000.00 USD / Year

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Job Description:

Checkr is looking for a Senior Engineering Manager to lead the Criminal Data team. This team is responsible for big data at Checkr: ingesting, storing, and processing records in the billions. As the Senior Engineering Manager for this team, you will be in charge of shaping the technical strategy and overseeing project delivery. The projects you’ll be working on are high impact and scale: you’ll be advancing our architecture and systems to lead Checkr into the next generation of product offerings. The decisions you make will impact millions of people every year, and help businesses make fast, informed, and safe decisions.

Job Responsibility:

Drive a motivating technical vision for the team
Partner closely with product management to solve business problems
Work with the team to build a world-class architecture that can scale into the next phase of Checkr’s growth
Hire the best talent and continue to raise the bar for the team
Represent the team in planning and product meetings
Optimize engineering processes and policies to drive velocity and quality

Requirements:

6+ years as an engineering manager
8+ years as an engineer
Exceptional verbal and written communication skills
Unparalleled bar for quality (data quality metrics, QC gates, data governance, automated regression test suites, data validations, etc)
Experience working on data products at scale and understanding the legal, human impact, and technical nuances of supporting a highly regulated product
Experience designing and maintaining: Real-time & batch processing data pipelines serving up billions of data points
Normalizing and cleansing data across a medallion lakehouse architecture
Systems that rely on high-volume, low-latency messaging infrastructure (e.g. Kafka or similar)
Highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc.)
Familiarity with AWS Glue, OpenSearch, EMR, etc
Familiarity with DevOps (including Infrastructure as Code, CI/CD, containerization, etc)
Familiarity with developing APIs and backend microservices
Exposure to machine learning / AI to solve complex data challenges, such as transformation, deduplication, and enrichment
Exposure to working in the identity space (entity resolution)
Exposure to managing a globally distributed team

What we offer:

A fast-paced and collaborative environment
Learning and development allowance
Competitive compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to 25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend

Additional Information:

Job Posted:
April 24, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Engineering Manager, Big Data