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City Furniture

STAFF DATA ENGINEER - TAMARAC, FL

City Furniture, Florida, New York, United States

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Who We Are… With over 50 years of experience, and several CITY Furniture and Ashley HomeStore showrooms and distribution centers throughout Florida, CITY Furniture continues to be recognized as a top furniture company in South Florida and nationwide. By joining CITY Furniture, you become part of a

family-spirited

organization that is focused on you! With planned local growth, plus growth in new markets over the next several years, the CITY Furniture team is excited about the future. Join our fun, family-spirited team to build a long-lasting career at a company that will continue to challenge, develop, and appreciate its Associates. Click Here to watch our Company video!

Our Vision To be the home store.

Our Purpose To enrich people’s lives and make the world a better place.

Our Mission To provide quality home furnishings, at excellent values, in an exciting and fun environment.

Our Values Mutual Trust & Respect | Continuous Improvement | Entrepreneurial Spirit | Customer Focus | Teamwork | Giving Back

What This Role Is… The Staff Data Engineer is a technical leader responsible for architecting, building, and optimizing CITY Furniture’s enterprise data ecosystem. This role designs scalable data platforms, drives best practices, leads delivery of complex data solutions, and ensures the reliability and quality of data powering analytics, reporting, and data science. Staff Data Engineer requires deep engineering expertise, strong critical thinking, independent problem-solving, and the ability to influence technical direction across the Data Services group. Your contributions will ensure the success of the Technology department at CITY Furniture.

Position Title: Staff Data Engineer

Reports To: Manager, Data Engineering

Location: Hybrid/ Tamarac Corporate office

Department/Sub-Department: Information Technology/ Data and Analytics

Salary: $110,000 - $140,000

What You’ll Do*… As a Staff Data Engineer, your primary responsibilities will be:

Hands-On Engineering:

Build, optimize, and maintain complex ETL/ELT pipelines across cloud and on-prem environments

Develop and maintain data models supporting analytics, operational reporting, and machine learning workflows

Lead root-cause investigations and implement long-term solutions

Implement data quality monitoring, observability practices, and lineage standards

Technical Leadership:

Lead solution design and architecture within your assigned engineering area

Work with other Team Leads to define and maintain engineering standards and best practices

Review technical designs and perform code reviews to ensure high-quality engineering output

Make technical decisions for your workstream while ensuring consistency across the broader engineering function

Team Leadership and Coordination :

Mentor, coach, and develop Data Engineers across various skill levels

Contribute to sprint planning, backlog refinement, and workstream coordination alongside other Team Leads

Manage workload distribution and drive execution within your engineering workstream

Serve as a technical escalation point for engineering challenges

Ensure consistent delivery of scalable, well-documented, production-ready pipelines and data products

Additional duties and responsibilities as a Staff Data Engineer:

Cross-Functional Collaboration

Coordinate engineering direction with other Team Leads to maintain a unified strategy

Collaborate with Data Analytics, Data Science, BI, Product, and business stakeholders to define requirements and solution approaches

Communicate timelines, risks, technical challenges, and architectural decisions clearly

Participate in long-term data platform and infrastructure planning

Adheres to all assigned Standard Work and Role and Responsibilities for your role.

* Additional duties may be assigned as needed, beyond those listed in the responsibilities. Changing business conditions may trigger changes to job responsibilities (i.e., COVID-19).

What We’re Looking For…

Proven leadership in guiding engineering teams through complex technical challenges and delivering high-quality solutions.

Expertise in large-scale data architecture, including distributed systems, streaming patterns, and advanced data pipeline design.

Strong SQL and performance optimization skills for complex queries and scalable solutions.

Ability to select and implement technologies that ensure long-term scalability and reliability.

Clear communication skills to explain technical concepts and align priorities across diverse stakeholders.

Strategic problem-solving to translate ambiguous requirements into actionable engineering plans.

Advanced troubleshooting and diagnostic capabilities for system reliability and performance.

Influence and collaboration across multiple workstreams to drive engineering direction and alignment.

What’s Required… Education & Experience:

Bachelor’s degree in Computer Science, Data Engineering, or related field.

7-10 years of hands-on data engineering experience building complex data systems

Demonstrated success in technical leadership or team leadership roles

Proven ability to deliver production-grade, enterprise-scale data systems

Work Environment & Schedule:

Monday through Friday

Hybrid schedule, corporate office setting

Minimal Travel Required

Physical Requirements:

Prolonged sitting and computer use

Prolonged standing and walking

Technology Requirements:

Proficiency with Microsoft 365 and Google Workspace

Strong knowledge of SQL, Python

Experience with cloud integration, APIs, and data orchestration tools

Advanced optimization and performance tuning

Expert in ETL/ELT frameworks and patterns

Strong Python engineering for pipelines, automation, and APIs

Experience with real-time and batch data processing

Strong data modeling skills (OLTP, OLAP, dimensional design)

Experience with data governance, lineage, cataloging, and observability tools

Proficiency with cloud data platforms and distributed compute

Experience with DB2, Denodo, and data virtualization technologies

Familiarity with orchestration tools (Airflow, dbt) and Git-based development

Experience with REST APIs, CDC technologies, and AWS services (S3, Batch, Lambda, IAM, EC2)

Understanding of BI ecosystems such as Power BI and Cognos

Certifications / Licenses (highly preferred):

AWS Data Engineer / Solutions Architect

IBM DB2 or related certifications

What Benefits You’ll Receive…

Competitive and Transparent Compensation

Visibility into all Associate-level pay ranges within your department

Opportunity for performance-based and profit sharing bonuses

Associate Well-being

Workforce and Demand Planning for Leveled Workload

Paid Vacation & Sick Time

Paid Parental leave

Opportunity for Flexible Work Environment and Schedule (varies by department and role)

Community involvement and volunteer opportunities

Health Benefits

Free virtual healthcare services (for Associates enrolled in our medical plans)

Medical options include Employer-funded HSA options

Vision to support your eye health and well-being

100% Employer-paid Dental option available to all Associate

Employee Assistance Program (EAP)

Life & Disability Insurance 100% employer-sponsored options

Voluntary Insurance (Accident, Hospital, Critical Care, etc.)

Retirement Benefits

401(k) - once enrolled, Associates are 100% vested with discretionary Company Match

Roth 401K Option

Financial Wellness webinars

Growth Opportunities

90% Promote from Within

Access to various training for professional development

Individual Development Plan (IDP) (varies by department)

Associate Purchase Discount Program

And so much more….

CITY Furniture, Inc. is an Equal Opportunity Employer. We recruit, hire, train, and promote individuals in all job titles without regard to age, race, color, sex, religion, sexual orientation, gender identity, national origin, disability, genetic information, or status as a covered veteran or any other status protected by federal, state or local law. At CITY Furniture, Inc. we are committed to a fair and equitable workplace where everyone is a respected and a valued member of the team. Job description is not an employment contract.

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