Principal Data Engineer — AI-Driven Data Platforms

Socket.dev; Denver (CO); Hybrid; USD 200,000 - 290,000; Full time

Benefits offered by this job

Equity + Benefits

Job summary

True Anomaly seeks a Principal Data Engineer to lead hands-on design and evolution of scalable data platforms, solving complex challenges while setting engineering standards and guiding the Enterprise Data Platform’s direction.

The ideal candidate will bring deep Python/SQL skills and experience with Snowflake, Databricks or Redshift, and will embrace AI-assisted development to accelerate pipelines and improve code quality.

Qualifications

• 10+ years of experience in data engineering and software engineering.
• Strong hands-on Python and SQL experience.
• 3+ years 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

AI‑assisted tools

Technical leadership

Tools

Snowflake

Databricks

Redshift

Job description

True Anomaly seeks a Principal Data Engineer to lead hands-on design and evolution of scalable data platforms, solving complex challenges while setting engineering standards and guiding the Enterprise Data Platform’s direction.

The ideal candidate will bring deep Python/SQL skills and experience with Snowflake, Databricks or Redshift, and will embrace AI-assisted development to accelerate pipelines and improve code quality.