Senior Software Engineer, Data
Checkr · Denver, Colorado, United States; San Francisco, California, United States
Posted about 3 months ago
or apply directly on Checkr's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Checkr's roles stay open a median of 63 days
- Reposted
- No
- Salary listed
- No 0% of Checkr's roles list one
- Ghost-job risk at Checkr
- high 45 stale, 1 reposted of 51 open
- Hiring momentum
- 109 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Checkr's own greenhouse board since 2026-08-03. Full hiring picture for Checkr.
About this role
As a Senior Software Engineer on the Data Platform team at Checkr, you will design, build, and maintain core services and data pipelines for the centralized data platform, which is essential for the company's customer-facing products. You will collaborate with various teams to resolve ambiguities, deliver reliable solutions, and mentor other engineers while ensuring high-quality code and performance. The role also involves participating in on-call duties to monitor and resolve production issues.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Checkr as an employer.
What you need
- 5+ years of development experience in software engineering, preferably with data
- Strong proficiency in Python or similar languages
- Strong SQL skills
- Experience with ETL/ELT, and stream and batch processing of data at scale
- Experience running data processing workloads in the cloud at scale; AWS expertise preferred
- Good understanding of database systems and data modeling, across both relational and NoSQL databases
Nice to have
- Experience with big data technologies such as PySpark, Kafka, Spark, Iceberg, and Datalake architectures
- Experience with real-time, low-latency data processing
- Experience/knowledge of data processing platforms such as Databricks or Snowflake
- An understanding of Graph and Vector data stores
What you get
- Learning and development allowance
- Competitive cash and equity 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
Worth weighing
- Role requires in-office work 3+ days a week at designated hub locations
- No specific mention of the tech stack beyond Python and SQL, which may imply a focus on legacy systems
- Pay transparency indicates location-based salary ranges, but specific target ranges are not provided until later in the recruitment process
Summarised from Checkr's posting. Read the full original.
Listed by Checkr on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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