Delivering decisive capabilities for space superiority. Backed by Accel and Menlo.
About the role
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
What they're looking for
- 0-2 years of experience in data engineering, software engineering
- Bachelor's or Master's degree in computer science, Data Science or a related technical field
- Excellent Python programming skills and a reasonable knowledge of SQL
- Strong software engineering and problem-solving skills and one who is curious, takes the initiative and a quick learner
- Willing to embrace the pace, ambiguity and challenges of a startup environment
- Base Salary: Denver - $80,000 - $110,000, Long Beach - $85,000 - $115,000
More about this role
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.
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.
- Build and maintain data pipelines and data products and solutions using Python, SQL and modern cloud data platforms and technologies
- Develop,...
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