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Power Digital Marketing

AI Data Engineer

Power Digital Marketing

. Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products .

Posted 5/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudPythonSQL

About the role

Key responsibilities & impact
  • Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products
  • Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure
  • Consolidate fragmented data sources across the organization into reliable, automated pipelines
  • Design scalable data models and marts that serve both analytics and ML feature engineering
  • Support rapid iteration on new data products and features in a fast-moving environment
  • Collaborate cross-functionally with analytics, data science, and product teams to translate requirements into data solutions
  • Proactively monitor and resolve data quality issues, optimizing for cost and performance
  • Employ AI technologies to enhance and optimize business processes
  • Utilize and leverage Power Digital's Nova ecosystem as it relates to your department
  • Use AI coding tools as part of your daily development workflow to accelerate pipeline development and data quality work

Requirements

What you’ll need
  • Strong proficiency in Python and SQL
  • Experience building end-to-end data solutions, from ingestion to production use
  • Experience with Snowflake or a similar cloud data warehouse
  • Working knowledge of AWS (e.g., S3, Lambda, EventBridge)
  • Understanding of data modeling and structuring data for downstream applications
  • Familiarity with Git and basic CI/CD practices
  • Active use of AI tools in development workflows (e.g., Claude Code, Cursor, Copilot)
  • Comfortable shipping fast and iterating from live user feedback
  • Hands-on exposure to AI workflows (e.g., embeddings, vector databases, RAG systems)
  • Looker or similar BI/semantic layer experience

Benefits

Comp & perks
  • Base salary + commission opportunities
  • Robust Medical, Dental, Vision insurance plans with up to 100% employer contribution towards employee monthly premium
  • 401(k) plan - 4% employer contribution matching
  • Unlimited Time Off available on day one
  • Up to 4 hours per quarter for paid Volunteer Time Off (VTO) towards philanthropic endeavors
  • Fully flex work environment: full-remote, in-office, or hybrid
  • A one time $100 USD Work From Home (WFH) stipend automatically added to your first paycheck
  • Employee Assistance Program (EAP)
  • 12 observed United States national holidays + 2 mental health recharge days per year
  • Unlimited opportunities for growth & leadership within a rapidly growing firm
  • Ongoing employee development programs for personal and professional growth (Hedgehog and Vital 5s)
  • Quarterly awards including prize money and recognition for outstanding performance
  • Opportunities to be involved in company DEI initiatives

ATS Keywords

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Hard Skills & Tools
PythonSQLSnowflakeAWSdata modelingCI/CDAI toolsLookerdata pipelinesML feature engineering
Soft Skills
collaborationproblem-solvingadaptabilitycommunicationiterationproactivitycross-functional teamworkuser feedback integrationdata quality monitoringoptimization