> Markdown version of [/jobs/ext/4625762-principal-data-engineer](https://www.wearedevelopers.com/jobs/ext/4625762-principal-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Data Engineer

- **Company:** True Anomaly
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Application Frameworks, Microsoft Azure, Software Quality, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Software Tools, Cloud Services, Software Engineering, SQL Databases, Data Streaming, Enterprise Data Management, Snowflake, Git, Apache Kafka, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_4b071d830933ea57bab2cf12d17d41f2-2123663031

## About the Role

* 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.

## 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. #LI-Onsite