Data Engineer Machine Learning (Marketing Analytics)

At PODS (Portable On Demand Storage) were not just a leader in the moving and storage industry we redefined it. Since 1998 weve empowered customers across the U.S. and Canada with flexible portable solutions that put customers in control of their move. Whether its a local transition or a cross-country journey our personalized service makes any experience smoother smarter and more human.

Were driven by a culture of trust authenticity and continuous improvement. Our team is the heartbeat of our success and together we strive to make each day better than the last. If youre looking for a place where your work matters your ideas are valued and your growth is supported- PODS is your next destination.

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 highâquality feature pipelines in Snowflake/Snowpark Databricks productionize and operate batch/realâtime inference and establish MLOps/LLMOps practices so models deliver measurable business impact at scale.

Note: 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.

General Benefits & Other Compensation:

• 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)

What you will do:

â Design build and operate feature pipelines that transform curated datasets into reusable governed feature tables in Snowflake

â Productionize ML models (batch and realâtime) with reliable inference jobs/APIs SLAs and observability

â Setup processes in Databricks and Snowflake/Snowpark to schedule monitor and autoâheal training/inference pipelines

â 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 & MLwith Databricks as a core collaboration environment

â Partner with Data Science to optimize models that grow customer base and revenue improve CX and optimize resources

â Implement MLOps/LLMOps: experiment tracking reproducible training model/asset registry safe rollout and automated retraining triggers

â Enforce data governance & security policies and contribute metadata lineage and definitions to the ED&A catalog

â Optimize cost/performance across Snowflake/Snowpark and Databricks

â Follow robust and established version control and DevOps practices

â Create clear runbooks and documentation and share best practices with analytics data engineering and product partners

Also you will

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

What you will need:

• Bachelors or Masters in CS Data/ML or related field (or equivalent experience) required
• 4 years in data/ML engineering building productionâgrade pipelines with Python and SQL
• Strong handsâon with Snowflake/Snowpark and Databricks; comfort with Tasks & Streams for orchestration
• 2 years of experience optimizing models: batch jobs and/or realâtime APIs containerized services CI/CD and monitoring
• Solid understanding of data modeling and governance/lineage practices expected by ED&A

It would be nice if you had:

• 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)

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

Direct supervisor job title(s) typically include: VP Marketing Analytics

Job may require supervising Analytics associates

No Unsolicited Resumes from Third-Party Recruiters

Please note that as per PODS policy we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity employment agency person or entity that submits an unsolicited resume does so with the understanding that PODS will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency person or entity.

DISCLAIMER

The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain or be interpreted as a comprehensive listing of all requirements or responsibilities that may be required by employees in this job.

Equal Opportunity Affirmative Action Employer

PODS Enterprises LLC is an Equal Opportunity Affirmative Action Employer. We will not discriminate unlawfully against qualified applicants or employees with respect to any term or condition of employment based on race color national origin ancestry sex sexual orientation age religion physical or mental disability marital status place of birth military service status or other basis protected by law.

Required Experience:

IC