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 Principal Data Engineer to provide hands-on technical leadership in designing, building and evolving scalable data platforms. This role will be responsible for solving complex data engineering challenges, establishing engineering standards, and guiding the technical direction of True Anomaly’s Enterprise Data Platform. The ideal candidate is a strong hands-on engineer with deep experience in Python, SQL, and modern cloud data platforms such as Snowflake, Databricks or Redshift. This role will embrace the use of AI to aid data engineering and improve productivity, including leveraging AI-assisted development tools, automation and systems to accelerate pipeline development, improve code quality and optimize workflows. RESPONSIBILITIES Design, develop and maintain scalable data pipelines and data products using Python, SQL and modern data engineering practices, supporting batch, streaming, analytics, and AI/ML workloads Build and optimize ELT/ETL processes and data models using cloud data platforms with a focus on performance, scalability, reliability and cost efficiency Establish and apply engineering best practices for data quality, testing, monitoring, observability, CI/CD, version control, security, and production reliability Own data engineering projects end-to-end, from technical design and development through deployment, production support, troubleshooting, and continuous improvement Collaborate across engineering, AI/ML, analytics, product and business teams to translate requirements into reliable, scalable data solutions and products and contribute to technical design decisions Leverage AI-assisted engineering tools while contributing to data engineering technical excellence through code reviews, reusable frameworks, documentation, knowledge sharing, and mentoring other data engineers Mentor Junior and Senior Data Engineers and provide technical guidance across the engineering teams QUALIFICATIONS 10+ years of experience in data engineering and software engineering field Strong hands-on Python and SQL experience 3+ years of experience with Snowflake, Databricks, or both Strong understanding of data engineering, data architecture, data modelling and ELT/ETL Strong understanding of software engineering practices including Git, testing, CI/CD and code reviews Demonstrated ability to provide technical leadership and mentor other engineers Adopt AI-assisted engineering tools to improve productivity and delivery speed PREFERRED QUALIFICATIONS Experience with AWS, Azure or GCP Experience with Airflow, dbt, Kafka or similar technologies Experience building out Lakehouse architectures Experience with data governance, lineage and observability What we are looking for: This is a hands-on Principal level engineering role. The successful candidate should be comfortable writing code, designing architecture, solving difficult technical problems, and influencing best data practices across the company COMPENSATION Base Salary: Denver - $200,000 - $280,000, Long Beach - $210,000 - $290,000 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.
Design, develop and maintain scalable data pipelines and data products using Python, SQL and modern data engineering practices, supporting batch, streaming, analytics, and AI/ML workloads
Build and optimize ELT/ETL processes and data models using cloud data platforms with a focus on performance, scalability, reliability and cost efficiency
Establish and apply engineering best practices for data quality, testing, monitoring, observability, CI/CD, version control, security, and production reliability
Own data engineering projects end-to-end, from technical design and development through deployment, production support, troubleshooting, and continuous improvement
Collaborate across engineering, AI/ML, analytics, product and business teams to translate requirements into reliable, scalable data solutions and products and contribute to technical design decisions
Leverage AI-assisted engineering tools while contributing to data engineering technical excellence through code reviews, reusable frameworks, documentation, knowledge sharing, and mentoring other data engineers
Mentor Junior and Senior Data Engineers and provide technical guidance across the engineering teams
10+ years of experience in data engineering and software engineering field
Strong hands-on Python and SQL experience
3+ years of experience with Snowflake, Databricks, or both
Strong understanding of data engineering, data architecture, data modelling and ELT/ETL
Strong understanding of software engineering practices including Git, testing, CI/CD and code reviews
Demonstrated ability to provide technical leadership and mentor other engineers
Adopt AI-assisted engineering tools to improve productivity and delivery speed
Base Salary: Denver - $200,000 - $280,000, Long Beach - $210,000 - $290,000
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

Nice-to-haves

Experience with AWS, Azure or GCP
Experience with Airflow, dbt, Kafka or similar technologies
Experience building out Lakehouse architectures
Experience with data governance, lineage and observability

Application prep

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

Keywords to mirror

pythonsqlaimlci/cdawsazuregcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Pto

Parental Leave