Senior Engineering Manager, Big Data

About the team/role:

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.

What you’ll do:

• 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

What you bring:

• 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 you get:

• 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

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. 

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

The base salary range for this role is $201,000 to $237,000 in Denver, CO.

Equal Employment Opportunities at Checkr

Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.