Senior Data Engineer: Build Scalable People Data Pipelines

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

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.