# Senior Engineering Manager, Data Engineering

**Company:** [Checkr](https://hotfix.jobs/companies/checkr)
**Location:** Denver, CO, San Francisco, CA
**Role:** Engineering Management
**Salary:** $227k – $316k/yr
**Experience:** 5+ years
**Skills:** Data Pipelines, Kafka, Lakehouse Architecture, Databricks, Spark, Aws Emr, Infrastructure As Code, CI/CD, Containerization, APIs, Microservices, Data Lineage, Telemetry, Alerting
**Posted:** 2026-05-13

> Leads the People Data team in ingesting, storing, and processing billions of records. Shapes technical strategy, oversees high-scale data pipeline projects, hires top talent, and partners with product to drive business solutions. Requires 5+ years engineering management and big data experience.

## Job Description

## 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

- 5+ years as an engineering manager and 5+ years as an engineer
- Exceptional verbal and written communication skills
- Unparalleled bar for quality and operational excellence
- Experience working on big data products at scale
- AI first mindset
- An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes
- 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 Cloud / big data tooling: AWA EMR, Databricks, Spark etc.
- Familiarity with DevOps (including Infrastructure as Code, CI/CD, containerization, etc.)
- Familiarity with developing APIs and backend microservices
- Compliance and regulatory landscape understanding
- Exposure to working in the identity space

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**Canonical:** https://hotfix.jobs/jobs/36f2c62c-eaa4-4885-bc0c-8bfa085ac3f6