ML Data Engineer: Scale Feature Pipelines & MLOps

PODS Enterprises, LLC; Clearwater (FL); On-site; USD 110,000 - 170,000; Full time

Job summary

PODS Enterprises, LLC is seeking a Data Engineer-Machine Learning to scale a modern data & AI stack, bridging data engineering and ML engineering to deliver measurable business impact in Clearwater, FL. You will build feature pipelines in Snowflake/Snowpark and Databricks, productionize real-time and batch inference, and advance MLOps practices.

You will collaborate with ED&A to replicate operational data into Snowflake, optimize models for revenue and CX, enforce governance, and drive

Qualifications

• 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

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

Skills

Python

SQL

Snowflake

Snowpark

Databricks

MLOps

LLMOps

Data governance

DevOps

Education

Bachelor’s degree or Master’s in CS/Data/ML or related field

Tools

CI/CD

Containers

Monitoring

Job description

PODS Enterprises, LLC is seeking a Data Engineer-Machine Learning to scale a modern data & AI stack, bridging data engineering and ML engineering to deliver measurable business impact in Clearwater, FL. You will build feature pipelines in Snowflake/Snowpark and Databricks, productionize real-time and batch inference, and advance MLOps practices.

You will collaborate with ED&A to replicate operational data into Snowflake, optimize models for revenue and CX, enforce governance, and drive