Data Engineer - Machine Learning (Marketing Analytics)

Job Description

Job Description

JOB SUMMARY

The Data Engineer- Machine Learning is responsible for scaling a modern data & AI stack to drive revenue growth, improve customer satisfaction, and optimize resource utilization. As an ML Data Engineer, you will bridge data engineering and ML engineering : build high‑quality feature pipelines in Snowflake / Snowpark, Databricks, productionize and operate batch / real‑time inference, and establish MLOps / LLMOps practices so models deliver measurable business impact at scale.

This role is required onsite at PODS headquarters in Clearwater, FL. The onsite working schedule is Monday - Thursday onsite with Friday remote.

It is NOT a remote opportunity.

ESSENTIAL DUTIES AND 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—with Databricks as a core collaboration environment
• Partner with Data Science to optimize models that grow customer base and revenue, improve CX, and optimize resources
• 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
• Follow robust and established version control and DevOps practices
• Create clear runbooks and documentation, and share best practices with analytics, data engineering, and product partners

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

JOB QUALIFICATIONS : Essential Skills, Abilities, and Example Behavior(s)

DELIVER QUALITY RESULTS : Able to deliver top quality service to all customers (internal and external); Able to ensure all details are covered and adhere to company policies; Able to strive to do things right the first time; Able to meet agreed-upon commitments or advises customer when deadlines are jeopardized; Able to define high standards for quality and evaluate products, services, and own performance against those standards

TAKE INITIATIVE : Able to exhibit tendencies to be self-starting and not wait for signals; Able to be proactive and demonstrate readiness and ability to initiate action; Able to take action beyond what is required and volunteers to take on new assignments; Able to complete assignments independently without constant supervision

BE INNOVATIVE / CREATIVE : Able to examine the status quo and consistently look for better ways of doing things; Able to recommend changes based on analyzed needs; Able to develop proper solutions and identify opportunities

BE PROFESSIONAL : Able to project a positive, professional image with both internal and external business contacts; Able to create a positive first impression; Able to gain respect and trust of others through personal image and demeanor

ADVANCED COMPUTER USER : Able to use required software applications to produce correspondence, reports, presentations, electronic communication, and complex spreadsheets including formulas and macros and / or databases. Able to operate general office equipment including company telephone system

JOB QUALIFICATIONS : Education & Experience Requirements

Preferred Qualifications

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