Principal Data Engineer

Posted 4 Hours Ago
Be an Early Applicant
2 Locations
In-Office
200K-290K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Delivering decisive capabilities for space superiority.
The Role
Design, build, and lead scalable data platforms, pipelines, data products, and ELT/ETL processes supporting analytics and AI/ML workloads. Establish standards for data quality, testing, monitoring, observability, CI/CD, security, and reliability. Own projects through deployment and production support, collaborate across technical and business teams, use AI-assisted engineering tools, and mentor data engineers.
Summary Generated by Built In

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.

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.


Skills Required

  • 10+ years of experience in data engineering and software engineering
  • Strong hands-on experience with Python and SQL
  • 3+ years of experience with Snowflake, Databricks, or both
  • Strong understanding of data engineering, data architecture, data modeling, 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 engineers
  • Ability to adopt AI-assisted engineering tools to improve productivity and delivery speed
  • Experience with AWS, Azure, or GCP
  • Experience with Airflow, dbt, Kafka, or similar technologies
  • Experience building Lakehouse architectures
  • Experience with data governance, lineage, and observability
  • Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain required ITAR authorizations
  • Ability to work onsite at least three days per week in Long Beach, California, or Denver, Colorado

True Anomaly Compensation & Benefits Highlights

  • Affordable Benefits Healthcare is presented as 100% employer‑sponsored, covering medical, dental, and vision with HSA/HRA options highlighted. This materially reduces employee costs and is positioned as an uncommon plus for a growth‑stage firm.
  • Equity Value & Accessibility Roles include stock options so employees share in the company’s upside as part of total rewards. This ownership component complements cash pay and retirement options to enhance overall compensation.
  • Leave & Time Off Breadth Time off is described as generous, with references to flexible or unlimited PTO and mentions of 25 days annually plus U.S. holidays. Such breadth is intended to support rest and work‑life balance alongside flexible scheduling.

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The Company
HQ: Centennial, CO
300 Employees
Year Founded: 2022

What We Do

Space was once the quietest place in the universe. Now, it's crowded, contested, and confrontational.  We are True Anomaly: the only defense company focused exclusively on space defense. Founded in 2022 by ex-U.S. Space Force members, True Anomaly designs and builds advanced systems for space superiority: agile and powerful spacecraft platforms, mission software engineered for unmatched command and control, and payloads tailored for precision sensing and effects.    True Anomaly is headquartered in Centennial, CO, with regional offices in Colorado Springs, CO, Long Beach, CA, and Washington, D.C.  We are hiring and seeking exceptional talent to join True Anomaly, from any technical industry or background, to bring unique talents, perspective, and solutions. If you embrace complexity, lead instead of follow, showcase integrity over ego, take ownership for outcomes, and measure success by impact, we want to hear from you.

Why Work With Us

True Anomaly exists to enable a secure, stable, and sustainable space environment for the US, its allies, and partners. We design and build spacecraft and software solutions for space superiority. If you are ready to contribute to the future of space defense, we’d love to hear from you.

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True Anomaly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are a hybrid office culture. Our employees work from offices in Denver, Colorado Springs, Los Angeles, and Washington D.C. We recognize the importance of in-office collaboration, but also the value of a flexible work and location requirements

Typical time on-site: Not Specified
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HQEngineering and Manufacturing
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Mission Operations
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Engineering and Manufacturing
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Government Affairs and Sales
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