Staff Data Engineer: Scale Data Platform & Products

Tessera Data; San Francisco (CA); On-site; USD 224,000 - 264,000; Full time

Benefits offered by this job

Medical coverage

Equity

Learning and development allowance

Fertility reimbursement

Flexible PTO

Wellness stipend

Relocation stipend

Job summary

Checkr is seeking a Staff Data Engineer on the People Data team to build and evolve a centralized platform powering Checkr’s AI-driven verification across Workforce, Mortgage, Tenant, and other products. You will own core services, pipelines, and architecture to keep the platform scalable and reliable, solving complex distributed data challenges with ownership and customer focus.

You’ll collaborate with engineering, product, design, and stakeholders to design new features, provide mentorship,

Qualifications

• 10+ years designing, implementing, and delivering highly scalable 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.

Responsibilities

• 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.

Skills

PySpark

Python

SQL

Data Modeling

Relational DBs

NoSQL

Kafka

Spark

Iceberg

Data Lakes

AWS Stack

Security

Databricks

Snowflake

Tools

Databricks

Snowflake

Job description

Checkr is seeking a Staff Data Engineer on the People Data team to build and evolve a centralized platform powering Checkr’s AI-driven verification across Workforce, Mortgage, Tenant, and other products. You will own core services, pipelines, and architecture to keep the platform scalable and reliable, solving complex distributed data challenges with ownership and customer focus.

You’ll collaborate with engineering, product, design, and stakeholders to design new features, provide mentorship,