Staff Data Engineer - Tamarac, Fl

CITY Furniture•Tamarac, FL

13d•$110,000 - $140,000•Hybrid

About The Position

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.

Requirements

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.
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
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

Nice To Haves

AWS Data Engineer / Solutions Architect
IBM DB2 or related certifications

Responsibilities

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
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).

Benefits

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…