Senior Software Engineer, Data Enablement Platform

United States Digital Space LLC; New York (NY); On-site; USD 192,000 - 240,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Infrastructure Engineer to join their Data Enablement Platform team in New York. The role involves building and maintaining the company’s data platform while partnering with product teams to enhance data-backed products. Candidates must have 5+ years of experience in data infra roles and be fluent in Kotlin or similar languages.

The expected salary range for this position is $192,000-$240,000 USD, depending on experience and qualifications, with possible equity components and flexible compensation packages.

Qualifications

• 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.

Responsibilities

• Build, improve, and maintain the company’s data platform and infrastructure.
• Partner with product teams to launch data-backed products.
• Invest in building resilient data architectures and improve operational efficiency.

Skills

Data infrastructure expertise

Experience with Snowflake or similar

Fluency in Kotlin or Python

Experience with Kafka

Strong communication skills

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.