Senior Data Engineer

United States Digital Space LLC; Denver (CO); On-site; USD 157,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Equity compensation

Learning and development allowance

Fertility/adoption reimbursement

Wellness stipend

Flexible PTO

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer to design and scale the People Data platform across the company’s products. You will build reliable pipelines and services and partner with engineering, product, and data teams to ensure fast, accurate identity data for hiring decisions.

You will own core data services, drive scalable architectures, and mentor engineers. The role emphasizes ownership, data privacy, and secure, well-tested code in a fast-growing environment.

Qualifications

• 5+ years of software engineering experience building scalable data platforms or backend services.
• Proficient in Python, PySpark, and SQL with strong CS fundamentals.
• Experience with ETL/ELT, batch and streaming pipelines.

Responsibilities

• Design, build, and ship data pipelines for the People Data platform from design through release.
• Lead core services with ownership, balancing speed and long-term scalability.
• Build and maintain large-scale data processing pipelines serving identity and people records.
• Collaborate with product and cross-functional teams to scope initiatives and roadmap.
• Ensure platform availability and data accuracy by participating in on-call rotation and issue resolution.
• Mentor engineers and contribute to the engineering organization through reviews and proposals.

Skills

Python

PySpark

SQL

Data modeling

Security best practices

Tools

MongoDB

Kafka

Spark

Iceberg

AWS (EKS, EMR, Glue, Athena, S3)

Job description

About the company

the company is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on the company 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. the company is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

As a technical contributor on the People Data team, you'll help build and scale the company's centralized people data platform, the system that stores and serves the identity and people records powering every the company product.

As a Senior Data Engineer, you'll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the platform fast and accurate as our product surface grows. You'll partner closely with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal, directly enabling the fair and safe hiring decisions at the heart of the company's growth.

What you'll do

• Design, build, and ship new capabilities and data pipelines for the People Data platform, from design through release
• Lead the execution of core services with strong ownership, balancing speed to market with long-term scalability and reliability
• Build and maintain large-scale data processing pipelines (batch and streaming) that serve identity and people records across the company's products
• Partner with Product and cross-functional teams to scope appropriately sized initiatives and shape a roadmap that meets business needs quarter over quarter
• Ensure platform availability and data accuracy by participating in on-call rotation, resolving production issues, and driving preventative improvements
• Mentor engineers on the team and contribute to the broader engineering organization through technical reviews, showcases, and proposals

What you bring

• 5+ years of software engineering experience building scalable, performant data platforms or backend services
• Strong proficiency in Python, PySpark, and SQL, with solid Computer Science fundamentals across data structures, algorithms, and relational/NoSQL databases (e.g., MongoDB)
• Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing
• Familiarity with big data technologies such as Kafka, Spark, Iceberg, and data lakes, and the AWS stack (EKS, EMR, Glue, Athena, S3)
• Experience with data modeling, domain modeling, and system architecture, with a proven track record of writing clear, tested code
• Knowledge of security best practices and data privacy concerns, and a strong sense of ownership across the full development lifecycle
• Nice to have: experience with data processing platforms such as Databricks or Snowflake

#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, seeour website**.*

On-target Earnings OR Base Salary range (San Francisco, CA)

$185,000-$218,000 USD

On-target Earnings OR Base Salary range (Denver, CO)

$157,000-$185,000 USD

What We Offer

• 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

*At the company, we believe an in office 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 week. In-office perks are provided, such as lunch five 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 the company hub location.*

Equal Employment Opportunities at the company

*the company 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. the company 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 Francisco's Fair Chance Ordinance.*

Applicant Privacy Policy

If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.

**Legitimate the company emails will always include our official domain name after the @ symbol (e.g., [e-mail] or [e-mail]).*