Principal Data Engineer

Engg; Denver, Long Beach (CO, CA); Hybrid; USD 200,000 - 290,000; Full time

Benefits offered by this job

Equity

Health insurance

PTO & holidays

401K

Job summary

True Anomaly is seeking a Principal Data Engineer to provide hands-on technical leadership in designing, building, and evolving scalable data platforms. You will solve complex data engineering challenges, establish engineering standards, and guide 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.

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.

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

Skills

Python

SQL

Data engineering

Tools

Snowflake

Databricks

Airflow

dbt

Kafka

Git

Job description

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

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.

ITAR Compliance

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.

Equal Employment Opportunity

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.