Senior Software Engineer, Data Enablement Platform

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 192,000 - 240,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Infrastructure Engineer to build and improve its data platform. You will work closely with product and data teams, enhancing the company’s data capabilities and driving impactful products.

This role requires a strong background in data platforms, including tools like Snowflake and Kafka, and collaboration across functions. Candidates should have 5+ years of experience and be available to work in the office three days a week.

Compensation ranges from $192,000-$240,000 USD, influenced by location and experience.

Qualifications

• 5+ years of experience in a data infrastructure or platform role.
• Experience with multiple data tools such as Snowflake and Flink.
• Ability to work collaboratively across teams.

Responsibilities

• Build and maintain the company’s data platform and infrastructure.
• Partner with product, data science, and analytics teams.
• Invest in resilient data architectures and improve operational efficiency.

Skills

Data infrastructure experience

Kotlin or Python fluency

Snowflake, Flink, Airflow knowledge

Collaboration skills

Experience with streaming infrastructure

Tools

Kafka

dbt

Job description

What you’ll do

This position is on our Data Enablement Platform team. The company product requires a huge amount of data to power our client experiences. With a largely async architecture, proliferation of services and multiple operations systems, this data originates from many different sources and in different forms. To ensure that our product experience is unbounded in how it leverages this data, the Data Enablement Platform team owns and operates the systems required to deliver it to our clients, and partners with them to create impactful data‑backed products. As a DEP team member you will help build the company’s Data Infrastructure and also work across the entire data stack to help product teams build data‑backed products.

Responsibilities

• Build, improve, and maintain the company’s data platform and infrastructure: data warehouse & analytics, data streaming, replication and materialization, data orchestration, data observability, access & governance.
• Partner with the company’s product teams, data science and analytics teams to help them launch superior products backed by data insights.
• Level up the data competency at the company through partnership and education.
• Invest in building resilient data architectures, participate in on‑call rotations, and continuously improve our operational efficiency.

Requirements

• 5+ years of professional experience in a data infra or data platform role
• Experience with one or more of Snowflake, Flink, Airflow, dbt, CDC
• Fluency in Kotlin or Kotlin‑like development languages such as Python
• Experience building and maintaining large‑scale modern data stack
• Experience with streaming infra like Kafka
• Experience in backend engineering or full‑stack development
• Strong communication and collaboration skills, especially working across team boundaries and building XFN relationships
• Must be willing to work in office 3 days a week on Mondays, Wednesdays and Fridays

Bonus points

• Experience collaborating with product teams or building full‑stack data‑backed products
• Experience with data architecture and data strategy

Compensation

The expected salary range for this role is $192,000-$240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.