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Data Engineer - Machine Learning (Marketing Analytics)

PODS

Salary not specified
Aug 29, 2025
Clearwater, FL, US
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PODS is looking to scale a modern data & AI stack to drive revenue growth, improve customer satisfaction, and optimize resource utilization

Requirements

  • 4+ years in data/ML engineering building production‑grade pipelines with Python and SQL
  • Strong hands‑on with Snowflake/Snowpark and Databricks; comfort with Tasks & Streams for orchestration
  • 2+ years of experience optimizing models: batch jobs and/or real‑time APIs, containerized services, CI/CD, and monitoring
  • Solid understanding of data modeling and governance/lineage practices expected by ED&A
  • Familiarity with LLMOps patterns for generative AI applications
  • Experience with NLP, call center data, and voice analytics
  • Exposure to feature stores, model registries, canary/shadow deploys, and A/B testing frameworks

Responsibilities

  • Design, build, and operate feature pipelines that transform curated datasets into reusable, governed feature tables in Snowflake
  • Productionize ML models (batch and real‑time) with reliable inference jobs/APIs, SLAs, and observability
  • Setup processes in Databricks and Snowflake/Snowpark to schedule, monitor, and auto‑heal training/inference pipelines
  • Collaborate with our Enterprise Data & Analytics (ED&A) team centered on replicating operational data into Snowflake, enriching it into governed, reusable models/feature tables, and enabling advanced analytics & ML
  • Implement MLOps/LLMOps: experiment tracking, reproducible training, model/asset registry, safe rollout, and automated retraining triggers
  • Enforce data governance & security policies and contribute metadata, lineage, and definitions to the ED&A catalog
  • Optimize cost/performance across Snowflake/Snowpark and Databricks

Other

  • Bachelor’s or Master’s in CS, Data/ML, or related field (or equivalent experience)
  • DELIVER QUALITY RESULTS: Able to deliver top quality service to all customers (internal and external)
  • TAKE INITIATIVE: Able to exhibit tendencies to be self-starting and not wait for signals
  • BE INNOVATIVE / CREATIVE: Able to examine the status quo and consistently look for better ways of doing things
  • BE PROFESSIONAL: Able to project a positive, professional image with both internal and external business contacts