STAFF DATA ENGINEER - TAMARAC, FL at CITY Furniture
Date: 6 hours ago
City: Tamarac, FL
Salary:
$110,000
-
$140,000
per year
Contract type: Full time
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 is to be the home store.
Our Purpose is to enrich people’s lives and make the world a better place.
Our Mission is 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:
Education & Experience:
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 is to be the home store.
Our Purpose is to enrich people’s lives and make the world a better place.
Our Mission is 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
- 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
- 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
- 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).
- 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.
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
- Monday through Friday
- Hybrid schedule, corporate office setting
- Minimal Travel Required
- Prolonged sitting and computer use
- Prolonged standing and walking
- 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
- AWS Data Engineer / Solutions Architect
- IBM DB2 or related certifications
- 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….
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