Data Engineer (Entry Level)

Marathon TS; Austin (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Marathon TS is seeking an early-career engineer to join the Enterprise Data & Analytics team in Austin. You’ll work at the intersection of data, AI, and platform engineering to build foundations that support AI/ML initiatives across the business.

You will use SQL and Python, gain exposure to GCP and BigQuery, and contribute ideas to scalable data solutions in a high-visibility environment. If you’re curious, capable of learning quickly, and enjoy ambiguous problems, this is a strong fit.

Qualifications

• Strong fundamentals in CS, engineering, data or related fields.
• Ability to learn quickly and thrive in ambiguity.
• Interest in AI/ML and building scalable data solutions.

Responsibilities

• Contribute to data foundations that support AI/ML initiatives.
• Build and iterate on data pipelines and platform components.
• Collaborate with cross-functional teams to turn ideas into practical solutions.
• Own parts of the data platform and communicate progress clearly.

Skills

SQL

Python

GCP

BigQuery

AI/ML interest

Data problem solving

Job description

This is a strong early-career opportunity with a Fortune 50 company for someone who wants to build at the intersection of data, AI, and platform engineering. The team sits within the Enterprise Data & Analytics organization and is focused on building the data and platform foundations that support AI/ML initiatives across the business.

They’re looking for someone with strong fundamentals in SQL and Python, exposure to cloud tools like GCP and BigQuery, and a genuine interest in AI, machine learning, and solving complex data problems.

It’s a great fit for a recent grad or early-career engineer who learns quickly, likes working in ambiguity, and wants the chance to contribute ideas, build scalable solutions, and grow in a highly visible environment. This is less about checking every box and more about finding someone with strong technical horsepower, curiosity, and the ability to grow into a high-impact engineer.

This is a strong fit for someone who:

• Has a strong technical foundation in CS, engineering, data, or related fields
• Picks up new concepts quickly and thrives in fast-moving environments
• Enjoys solving open-ended problems and turning ideas into practical solutions
• Is curious about AI/ML, platform engineering, and building intelligent systems
• Brings initiative, strong communication, and an ownership mindset
• Has built, experimented, or improved something on their own (projects, research, open source, etc.)

What makes this especially compelling is the opportunity to join a team where you can learn quickly, contribute meaningful ideas early, and help shape the direction of the platform as the team continues to evolve.