Senior Data Engineer

Rooms To Go; Seffner (FL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Associate discounts

Life and disability insurance

Paid time off

Employee Assistance Program

Wellness Programs

Job summary

Rooms To Go is seeking a Senior Data Engineer in Florida to architect, develop, and optimize end-to-end data solutions supporting AI, ML, and BI initiatives. You will lead complex pipelines on Databricks, design Snowflake-based data warehouses, and ensure scalable, secure data infrastructure.

You will mentor mid-level and junior engineers, collaborate with AI/ML teams, and stay ahead of cloud data trends to enable data-driven decision making across the enterprise.

Qualifications

• 5–7 years of progressive experience in data engineering, with production-grade cloud data solutions.
• Proficiency in Python, SQL, Spark, and large-scale data processing frameworks.
• Hands-on with Databricks, Delta Live Tables, and real-time streaming architectures.
• Strong data modeling skills including star schema design and slowly changing dimensions.
• Experience building cloud-based data environments (Azure preferred; AWS/GCP valuable).
• Experience enabling AI/ML lifecycles with data pipelines for training, feature tooling, and low-latency inference.

Responsibilities

• Architect and implement scalable data pipelines on Databricks using Delta Live Tables and Spark.
• Lead design of modern Data Warehouse architectures with Snowflake and cloud-native best practices.
• Collaborate with AI/ML teams to integrate data pipelines for model training and monitoring.
• Serve as technical lead on cross-functional data projects involving analytics and data transformation.
• Develop data governance, security standards, and compliance controls across platforms.
• Optimize Databricks clusters and workflows for cost efficiency and reliability.
• Mentor junior engineers through code reviews and architectural guidance.
• Stay current with data engineering trends and drive innovation.

Skills

Python

SQL

Apache Spark

Databricks

Delta Live Tables

Data Modeling

Cloud Platforms

Azure

AWS/GCP

Leadership

Mentoring

Communication

Education

Bachelor's degree in CS or related field

Databricks Certified Data Engineer Professional

Microsoft Fabric Data Engineer Associate

Advanced Databricks certifications (e.g., ML Professional)

Tools

Databricks

Snowflake

Job description

Position Summary:
This role is designed for a Senior Data Engineer responsible for architecting, developing, and optimizing end-to-end data solutions that support enterprise-scale AI, machine learning, and business intelligence initiatives. With deep expertise in Databricks and cloud-based data platforms, this individual leads high-impact projects, mentors junior team members, and drives innovation across the data engineering function. The Senior Data Engineer plays a key role in enabling data-driven decision-making by ensuring the availability, reliability, and scalability of core data infrastructure.

Responsibilities:

• Architect and implement complex, scalable data pipelines on Databricks using tools such as Delta Live Tables, Structured Streaming, and Apache Spark
• Lead the design and optimization of modern Data Warehouse Architectures using Snowflake, star schema modeling, and cloud-native best practices
• Collaborate with AI/ML teams to integrate data pipelines for real-time and batch model training, scoring, and monitoring workflows
• Serve as a technical lead on cross-functional projects that incorporate predictive analytics, machine learning, and advanced data transformation
• Develop and implement data governance frameworks, security standards, and compliance controls across data platforms
• Optimize cluster and workflow performance in Databricks to ensure cost-effective and reliable data processing
• Mentor and guide mid-level and junior engineers, supporting their development through code reviews, architectural guidance, and knowledge sharing
• Stay current with industry trends in data engineering, cloud infrastructure, and AI integrations, and identify opportunities for innovation
• Document technical designs, processes, and architectural decisions to promote knowledge reuse and support maintainability
• Performs other duties as required

Qualifications:

• 5–7 years of progressive experience in data engineering, with a proven track record of delivering production-grade, cloud-based data solutions
• Proficiency in Python, SQL, Apache Spark, and large-scale data processing frameworks
• Deep hands-on experience with Databricks, Delta Live Tables, and real-time streaming architectures
• Strong understanding of data modeling techniques, including dimensional modeling and star schema design, including implementation patterns for slowly changing dimensions
• Proven experience building and managing cloud-based data environments (Azure preferred; AWS/GCP also valuable)
• Working knowledge of AI/ML lifecycles to design, build and optimize data pipelines that effectively support model training, feature engineering, data versioning, and low-latency inference needs
• Strong grasp of data governance, metadata management, and cloud security best practices
• Experience leading the design and execution of enterprise data transformation initiatives and mentoring technical peers
• Strong analytical and problem-solving skills with the ability to address complex technical challenges independently
• Ability to work effectively in a collaborative team environment and lead technical discussions
• Excellent organizational skills with the ability to manage multiple priorities and meet deadlines
• Proactive mindset and commitment to continuous learning and technical excellence
• Clear and effective written and verbal communication skills
• Bachelor’s degree in computer science, data engineering, information systems, or a related field is preferred
• Databricks Certified Data Engineer Professional or Microsoft Fabric Data Engineer Associate certification is required (or must be obtained within 6 months)
• Advanced Databricks certifications (e.g., Machine Learning Professional) are highly desirable

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.