PODS · 1 day ago
Data Engineer - Machine Learning (Marketing Analytics)
Clearwater, FL
Full-time
Hybrid
Mid, Senior Level
4+ years expPODS is a leader in the moving and storage industry, committed to providing flexible, portable solutions to customers. The Data Engineer - Machine Learning will be responsible for scaling a modern data and AI stack to drive revenue growth and improve customer satisfaction by building high-quality feature pipelines and productionizing ML models.
DeliveryDelivery ServiceSelf-Storage
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
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
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
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
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
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
Qualification
Required
Bachelor's or Master's in CS, Data/ML, or related field (or equivalent experience) required
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
Preferred
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
Marketing analytics domain familiarity (lead scoring, propensity, LTV, routing/prioritization)
Benefits
Medical, dental, and vision insurance
Employer-paid life insurance and disability coverage
401(k) retirement plan with employer match
Paid time off (vacation, sick leave, personal days)
Paid holidays
Parental leave / family leave
Bonus eligibility / incentive pay
Professional development / training reimbursement
Employee assistance program (EAP)
Commuter benefits / transit subsidies (if available)
Other fringe benefits (e.g. wellness credits)
Company
PODS
PODS is a portable moving and storage company that provides residential and commercial services.
1001-5000 employees
H1B Sponsorship
PODS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (5)
2023 (8)
2022 (4)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
unknown2021-12-20Seed
2014-12-22Acquired
2003-01-01Seed
Leadership Team
Kathryn Marinello
President and Chief Executive Officer
Laureen Druker
Chief Human Resources Officer
Recent News
Company data provided by crunchbase