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Data Engineer - AI/ML Pipelines Job Opening In Seffner – Now Hiring Rooms To Go


Job description

The Data Engineer – AI/ML Pipelines is a pivotal role responsible for architecting, developing, and maintaining scalable data pipelines that support advanced analytics, machine learning, and real-time operational intelligence across enterprise systems.

A key requirement for this role is hands-on experience working with Warehouse Management Systems (WMS), including the ability to ingest, normalize, and interpret data from WMS platforms to support business-critical operations.

You’ll collaborate closely with software engineers, data scientists, and cross-functional teams to drive initiatives in data transformation, governance, and automation.

The role offers exposure to cutting-edge cloud-based technologies, direct mentorship, and well-defined pathways for advancement—including growth into senior or lead data engineering roles, specialization in machine learning engineering, or transition into software engineering roles.

Responsibilities:

  • Develop and maintain scalable data pipelines for structured/unstructured WMS, ERP, and operational data.
  • Clean, transform, and enrich data for dashboards, analytics, and ML use cases.
  • Collaborate with cross-functional teams to translate warehouse operations needs into scalable data solutions.
  • Ensure data quality through validation, anomaly detection, and lineage tracking.
  • Automate workflows using tools like Azure Data Factory and develop monitoring/alerting systems.
  • Support real-time and predictive analytics initiatives with properly prepared data pipelines.
  • Document pipeline logic and mentor junior team members.
  • Lead strategic data initiatives and evaluate new technologies to enhance data capabilities.
  • Troubleshoot and resolve production issues, ensuring minimal disruption to warehouse operations.
  • Qualifications:

  • 5+ years in data engineering, preferably with WMS or logistics systems.
  • Proficiency in Python, SQL, and modern data engineering practices.
  • Experience with Databricks, cloud-based architectures, and supporting AI/ML workflows.
  • Strong understanding of WMS data structures and integration patterns.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (preferred).
  • Certifications in AI/ML or cloud technologies are a plus.
  • Founded in 1991, Rooms To Go is one of the largest and fastest growing furniture retailers in the US with over 250 stores in ten southern states, eight distribution centers and an e-commerce business.

    Rooms To Go offers a collaborative work environment within a supportive culture.

    Rooms To Go Benefits: 

  • Medical, dental, and vision insurance 
  • 401(k) with company match 
  • Associate discounts including furniture 
  • Company paid life and disability insurance
  • Paid time off 
  • Employee Assistance Program 
  • Wellness Programs 
  • And more! 
  • Rooms To Go is an equal opportunity employer.

    We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws 

    Applicants must be authorized to work in the U.S.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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    Are You Looking for Data Engineer AI/ML Pipelines Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Rooms To Go adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Engineer AI/ML Pipelines Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Seffner. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Data Engineer AI/ML Pipelines typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Engineer AI/ML Pipelines Job Success

    Rooms To Go interview tips for Data Engineer   AI/ML Pipelines

    Here are some tips to help you prepare for and ace your Data Engineer AI/ML Pipelines job interview:

    Before the Interview:

    Research: Learn about the Rooms To Go's mission, values, products, and the specific job requirements and get further information about

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