Data Engineer - Tamarac, Fl

Position: STAFF DATA ENGINEER - TAMARAC, FL
Job Description

Job Description Who We Are…With over 50 years of experience, and several CITY Furniture and Ashley Home Store 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.  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

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,…