Senior Data Software Engineer for Global Satellite Internet

United States Digital Space LLC; Redmond (WA); On-site; USD 160,000 - 270,000; Full time

Job summary

United States Digital Space LLC in Redmond (Starlink program) seeks a Sr. Software Engineer, Data to build a scalable enterprise data platform and end-to-end data pipelines.

You will own engineering and collaborate on architecture with a team of engineers to solve complex problems for global customers. Qualified candidates have 5+ years in data engineering or related fields, and proficiency in Scala/Java/Python with experience in Kafka, Spark, and SQL/non-SQL databases.

Qualifications

• Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 7+ years of professional experience building software in lieu of a degree
• 5+ years of experience in full stack development, software engineering, data engineering, or data science

Responsibilities

• Develop a highly reliable and scalable enterprise data platform empowering users to ingest, process, store, and query at petabyte-scale
• Create new functionality and end-to-end data pipelines that improve how the business at the company operates
• Collaborate with peers on architecture, design, and code reviews
• Build prototypes to prove out key design concepts and quantify technical constraints
• Own all aspects of software engineering and product development
• Deep dive into businessproblems, find efficient solutions and apply first principles thinking

Skills

Scala

Java

C#

Python

Go

Angular

React

Kafka

Spark

Flink

Hive

Delta Lake

PostgreSQL

CockroachDB

Grafana

Metabase

PowerBI

Version control

Testing

CI/CD

Monitoring

Statistics

Machine Learning

Education

Bachelor's degree in computer science

Tools

Git

Docker

Kubernetes

Job description

United States Digital Space LLC in Redmond (Starlink program) seeks a Sr. Software Engineer, Data to build a scalable enterprise data platform and end-to-end data pipelines.

You will own engineering and collaborate on architecture with a team of engineers to solve complex problems for global customers. Qualified candidates have 5+ years in data engineering or related fields, and proficiency in Scala/Java/Python with experience in Kafka, Spark, and SQL/non-SQL databases.