Senior Data Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 162000 - 190000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Checkr
Checkr is building the data platform to power safe and fair decisions. Established in 2014 Checkrs innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100000 customers including DoorDash Coinbase Lyft Instacart and Airtable.
Were a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes CloudList and is a Y Combinator 2024 Breakthrough Company.
About the team/role
Were seeking an experienced Senior Data Engineer to join our Data Platform team. This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions.
As a Senior Data Engineer on the Data Platform team youll work on Checkrs centralized data platform critical for the companys vision. The centralized data platform is the heart of all key customer-facing products. You will work on high-impact projects that directly contribute to the next generation of products.
What youll do:
- Be an independent individual contributor who can solve problems and deliver high-quality solutions with minimal/high-level oversight and a high level of ownership
- Bring a customer-centric product-oriented mindset to the table - 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 - you insist on quality as a critical pillar of your software deliverables
- Analytical mindset - instrument and deploy new product experiments with a data-driven approach
- Deliver performant reliable scalable and secure code for a highly scalable data platform
- Monitor investigate triage and resolve production issues as they arise for services owned by the team
What you bring:
- Bachelors degree in a computer-related field or equivalent work experience
- 6-7 years of development experience in the field of data engineering (5 years writing PySpark)
- 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
- Strong proficiency in PySpark Python and SQL
- Expertise in understanding database systems data modeling relational databases NoSQL (such as MongoDB)
- Experience with big data technologies such as Kafka Spark Iceberg Datalake and 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/knowledge of data processing platforms such as Databricks or Snowflake.
- An understanding of Graph and Vector data stores (preferred)
What you get:
- A fast-paced and collaborative environment
- 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
Pay Transparency Disclosure
One of Checkrs core values is Transparency. To live by that value weve made the decision to disclose salary ranges in all of our job postings. 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 (San Francisco CA)
$162000 - $190000 USD
On-target Earnings OR Base Salary range (Denver CO)
$137000 - $161000 USD
At Checkr we believe a hybrid work environment strengthens collaboration drives innovation and encourages connection. Our hub locations are Denver CO San Francisco CA and Santiago Chile. Individuals are expected to work from the office 2 to 3 days a week. Starting January 2026 hub-based employees will be expected to work from the office 3 days per -office perks are provided such as lunch four times a week a commuter stipend and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.
Equal Employment Opportunities at Checkr
Checkr is committed to building the best product and company which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds including those whose histories are impacted by the justice system in accordance with local state and/or federal laws including the San Franciscos Fair Chance Ordinance.
*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g. or ).
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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!
