Principal Data Engineer: Leading AI-Driven Data Platform

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

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.