Staff Data Engineer at Checkr

Denver, Colorado, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Background Checks, HR TechIndustries

Requirements

10+ years of designing, implementing and delivering highly scalable and performant data platform
Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
Experience with ETL/ELT, stream and batch processing of data at scale
Expert level proficiency in PySpark, Python, and SQL
Expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
An understanding of Graph and Vector data stores (preferred)
Knowledge of security best practices and data privacy concerns
Strong problem-solving skills and attention to detail
Experience/knowledge of data processing platforms such as Databricks or Snowflake

Responsibilities

Architect, design, lead and build end-to-end performant, reliable, scalable data platform
Be an independent individual contributor who can solve problems and deliver high-quality solutions without oversight and a high level of ownership
Mentor, guide and work with junior engineers to deliver complex and next-generation of features
Bring a customer-centric, product-oriented mindset - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
Partner with engineering, product, design, and other stakeholders in designing and architecting new features
Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
Quality mindset - insist on quality as a critical pillar of software deliverables
Analytical mindset - instrument and deploy new product experiments with a data-driven approach
Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
Create and maintain data pipelines and foundational datasets to support product/business needs
Design and build database architectures with massive and complex data, balancing with computational load and cost
Develop audits for data quality at scale, implementing alerting as necessary
Create scalable dashboards and reports to support business objectives and enable data-driven decision-making
Troubleshoot and resolve complex issues in production environments

Skills

Data Engineering

Scalable Data Platforms

Architecture

Mentoring

Stakeholder Collaboration

End-to-End Development

Experimentation

MVP Development

Checkr

Provides background check services for employers

About Checkr

Checkr provides background check services primarily for businesses, staffing agencies, and recruiters. Their platform allows clients to conduct thorough background screenings to verify potential employees' histories, which is especially important in high-risk industries. The service operates on a software-as-a-service (SaaS) model, where clients subscribe to access a user-friendly dashboard and various features that help manage the background check process efficiently. Checkr also offers educational resources to promote fair hiring practices. Unlike many competitors, Checkr's platform includes innovative solutions like Checkr Assess, which can significantly reduce talent acquisition costs. The company's goal is to help businesses hire trustworthy employees while ensuring compliance and promoting fair hiring practices.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$535.1MTotal Funding

SERIES_ECompany Stage

Data & Analytics, ConsultingIndustries

1,001-5,000Employees

Benefits

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

Risks

Recent layoffs suggest potential financial instability or restructuring challenges for Checkr.

Departure of key personnel may lead to internal restructuring and operational disruptions.

Acquisition of Inflection and workforce reduction could lead to integration challenges.

Differentiation

Checkr offers rapid background checks using advanced technology, surpassing traditional providers.

The company promotes fair hiring practices, aligning with modern corporate social responsibility goals.

Checkr's SaaS model provides a user-friendly platform with compliance resources and partner integrations.

Upsides

Increased demand for digital background checks boosts Checkr's remote verification capabilities.

The gig economy's growth enhances demand for Checkr's quick and reliable background checks.

AI integration in HR tech allows Checkr to improve accuracy and speed of checks.

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