Data Engineer
US$80,000 – US$115,000 / yr base salary
Posted 26 Aug 2026
Advertised as “Data Engineer I”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- I
- Expected experience
- 0–2 yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Visa sponsorship
- Not offered
| Base salary | US$80,000 – US$115,000 / yr |
|---|
Field of studyComputer Science, Data Science (or related)
Study levelBachelor's or higher
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
BENEFITS & PERKS*
- Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options
- Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave
- Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees
- And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays
- Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.
*Do not apply to fixed term and temporary roles
YOUR MISSION
We are looking for a Data Engineer I who is an exceptional early-career engineer with strong Python and SQL skills and a passion for solving complex challenging technical problems and dealing with a certain amount of ambiguity. This is an opportunity for a talented graduate to build real-world data systems and grow quickly in a fast-paced high-performance startup environment.
RESPONSIBILITIES
- Build and maintain data pipelines and data products and solutions using Python, SQL and modern cloud data platforms and technologies
- Develop, test and troubleshoot data ingestion, transformations and workflows
- Apply software engineering practices including Git, testing, and CI/CD
- Leverage AI-assisted engineering tools to improve development and testing productivity
- Collaborate with experienced engineers, take ownership, adapt and learn quickly and deliver solutions that directly support our data and other stakeholders