Job description

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 QUALIFICATIONS 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 PREFERRED QUALIFICATIONS Has completed one or more internships, research or created projects in software or data engineering Exposure or a decent understanding of Cloud Data Platforms Exposure/Experience building with Spark, Airflow, dbt, Kafka or similar technologies Experience using AI-enabled development tools and technologies What we are looking for: This is a hands-on entry-level data engineering role. The successful candidate should be comfortable writing code, solving difficult technical problems, be willing to challenge the status quo, collaborate with the Principal and Senior Data Engineers as well as the cross functional teams and deliver quality data solutions. Please note: We are unable to provide visa sponsorship. COMPENSATION Base Salary: Denver - $80,000 - $110,000, Long Beach - $85,000 - $115,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 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. ADDITIONAL REQUIREMENTS Work Location — Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required. On an average week, you can expect to spend at least 3 days per week in office. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice .

Requirements

Must-haves

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
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
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
Please note: We are unable to provide visa sponsorship. COMPENSATION
Base Salary: Denver - $80,000 - $110,000, Long Beach - $85,000 - $115,000
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.
Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
Physical demands —the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice .

Nice-to-haves

Has completed one or more internships, research or created projects in software or data engineering
Exposure or a decent understanding of Cloud Data Platforms
Exposure/Experience building with Spark, Airflow, dbt, Kafka or similar technologies
Experience using AI-enabled development tools and technologies

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlci/cdai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Pto

Parental Leave