Jobs / United States / Checkr INC
Staff Software Engineer, Data
Checkr INC · 🇺🇸 Denver, Colorado, United States; San Francisco, California, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 7 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Checkr INC paid sponsored hires in similar roles3 certified filings for “Software Engineer” (Software Developers) in CA: $176k–$265k, median $180k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Checkr INC
The US Department of Labor certified 7 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Checkr INC →
About the role
About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 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, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . As a Staff Software Engineer on the People Data team, you'll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and people records that underpin Checkr's Workforce, Mortgage, Tenant, Trust, and Personal products, making it foundational to the company's AI-powered verification platform and every high-stakes decision our customers make. In this role, you'll own the core services, data pipelines, and architecture that keep this platform scalable, reliable, and ready for the next generation of Checkr products. You'll solve complex distributed systems and data engineering challenges while influencing the technical direction of one of the company's most critical platforms. What you'll 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 team's 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. #LI-TD1 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-t