Senior Data Engineer & ML Software Engineer

United States Digital Space LLC; Bastrop (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Sr. Software Engineer (Data Science/Data Engineering) to join a mission‑critical data stack supporting rocket and satellite telemetry analysis.

You will own scalable data pipelines, contribute to ML workflows, and collaborate with a broad engineering team to accelerate flight and production analytics. You will tackle real‑world data challenges, implement robust software, and influence system design while working in a team oriented environment with

Qualifications

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

Responsibilities

• Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across the company.
• Create new applications that improve how the business operates.
• Collaborate with peers on architecture, design, and code reviews.
• Build prototypes to prove out key design concepts and quantify constraints.
• Own all aspects of software engineering and product development.
• Deep dive into engineering problems with domain experts.

Skills

Data engineering

Data science

Python

ML techniques

OpenCV

PostgreSQL

PyTorch

Grafana

CI/CD

Jupyter Notebooks

Education

Bachelor's degree in computer science, engineering, math, or scientific discipline

Tools

Jupyter Notebooks

PostgreSQL

OpenCV

PyTorch

Job description

United States Digital Space LLC is seeking a Sr. Software Engineer (Data Science/Data Engineering) to join a mission‑critical data stack supporting rocket and satellite telemetry analysis.

You will own scalable data pipelines, contribute to ML workflows, and collaborate with a broad engineering team to accelerate flight and production analytics. You will tackle real‑world data challenges, implement robust software, and influence system design while working in a team oriented environment with