Principal Data Engineer

True Anomaly
Long Beach, CA, United States
4 days ago
Apply on job-boards.greenhouse.io
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$200,000.0 - $290,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Data Analysis Application Frameworks Microsoft Azure Code Review Continuous Integration Data Architecture Information Engineering Data Governance Extract Transform Load (ETL)
+13 more
Python (Programming Language) Software Tools Cloud Services Software Engineering SQL Databases Data Streaming Snowflake Git Apache Kafka Software Coding Software Version Control Data Pipelines Databricks

Job description

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., * 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, * 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, Manage a team of modeling and simulation engineers to develop high-fidelity models, overseeing technical direction and people management while ensuring alignment with strategic objectives. Top Skills: Integration ApproachesModeling ArchitectureSimulation FrameworksSpacecraft System ModelingValidation Strategies True Anomaly, The Deputy Chief Engineer will lead technical execution for a missile defense program, ensuring integrity in structural analysis and promoting cross-functional teamwork. Top Skills: Aerospace Systems EngineeringConfiguration ManagementDigital Thread ConceptsFinite Element ModelingMbse EnvironmentsReduced-Order ModelingRequirements TraceabilityVerification Processes True Anomaly

Requirements

  • 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, * 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, 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.

Benefits & conditions

Be an Early Applicant In-Office Denver, CO, USA 200K-290K Annually Expert/Leader In-Office Denver, CO, USA 200K-290K Annually Expert/Leader 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. The summary above was generated by AI

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., 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., In-Office Denver, CO, USA 145K-245K Annually Senior level 145K-245K Annually Senior level, In-Office Denver, CO, USA 180K-260K Annually Senior level 180K-260K Annually Senior level Aerospace * Artificial Intelligence * Hardware * Machine Learning * Software * Defense * Manufacturing As a Principal Flight Software Engineer, you will lead the architecture and development of flight software for space missions, ensuring safety and reliability while collaborating on technical decisions and standards. Top Skills: Azure RtosC/C++CanEthernetI2CPythonRs422Rs485RtlinuxSpi

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on job-boards.greenhouse.io
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all