Staff Data Engineer
Job Summary
About Checkr
Checkr is building the data platform to power safe and fair decisions. Over 140000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job a new place to live a car ride childcare even a date. Customers include Uber Pennymac Airbnb Doordash Amazon and Anthropic.
A career at Checkr means collaborating with brilliant minds disrupting an industry and opening channels of employment to often overlooked candidates. Checkr is recognized on Forbes CloudList and is a Y Combinator 2024 Breakthrough Company.
As a Staff Data Engineer on the People Data team youll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and people records that underpin Checkrs Workforce Mortgage Tenant Trust and Personal products making it foundational to the companys AI-powered verification platform and every high-stakes decision our customers make.
In this role youll own the core services data pipelines and architecture that keep this platform scalable reliable and ready for the next generation of Checkr products. Youll solve complex distributed systems and data engineering challenges while influencing the technical direction of one of the companys most critical platforms.
What youll do:
- Architect design lead and build an end-to-end performant reliable scalable data platform.
- Work as an independent contributor: solve problems and deliver high-quality solutions with minimal oversight and strong ownership.
- Mentor and guide junior engineers to deliver complex next-generation features.
- Bring a customer-centric product-oriented mindset. Collaborate with customers and internal stakeholders to resolve product ambiguities and ship features that solve real customer problems.
- Partner with engineering product design and other stakeholders to design and architect new features.
- Experimentation mindset: autonomy and empowerment to validate a customer need get team buy-in and ship a rapid MVP.
- Quality mindset: you treat quality as a non-negotiable part of your software deliverables.
- Analytical mindset: instrument and deploy new product experiments with a data-driven approach.
- Monitor triage and resolve production issues for the teams services.
- Create and maintain data pipelines and foundational datasets to support product and business needs.
What You Bring:
- 10 years designing implementing and delivering highly scalable performant data platforms.
- Experience building large-scale data processing pipelines using ETL/ELT batch and stream processing.
- Expert-level proficiency in PySpark Python and SQL.
- Expertise in data modeling relational databases and NoSQL data stores (e.g. MongoDB).
- Experience with big data technologies such as Kafka Spark Iceberg data lakes and the AWS stack (EKS EMR Serverless Glue Athena S3 etc.).
- Knowledge of security best practices and data privacy concerns.
- Strong problem-solving skills and attention to detail.
- Nice to have: experience or knowledge of data processing platforms such as Databricks or Snowflake.
- 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.
Pay Transparency Disclosure
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.
On-target Earnings OR Base Salary range (Santiago Chile)
$66.496.000 - $78.230.000 CLP
What We Offer
- A collaborative and fast-moving environment
- Be part of an international company based in the United States
- $3000 USD per year learning and development reimbursement allowance
- Competitive compensation and opportunity for professional and personal advancement
- 100% medical dental and vision coverage for employees and dependents
- Additional vacation benefits of 5 extra days and flexibility to take time off
At Checkr we believe a hybrid work environment strengthens collaboration drives innovation and encourages connection. Our hub locations are Denver CO; San Francisco CA; Nashville TN; and Santiago Chile. Individuals are expected to work from the office 3 days a -office perks are provided such as lunch five times a week a commuter stipend and an abundance of snacks and beverages.
Equal Employment Opportunities at Checkr
Checkr is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech non-tech and leadership roles. Checkr believes that the gathering and celebration of unique backgrounds qualities and cultures enriches the workplace.
Checkr also welcomes the opportunity to consider qualified applicants with prior arrest or conviction records. Checkrs commitment to diversity extends to hiring talented individuals in spite of a prior criminal history in accordance with local state and/or federal laws including theSan Franciscos Fair Chance Ordinance.
*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g. or ).
Required Experience:
Staff IC
About Company
Checkr platform uses AI to make background screening more efficient, speed up the hiring process, fill roles faster & drive more revenue. ✓ Start for free!