Data Integration Engineer at Maxwood Furniture

Charleston, South Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, ETL Processes, APIs, Python, Node.js, TypeScript, SQL, NoSQL, Data Warehouse Management, Analytics Enablement, Problem-Solving, Collaboration, Documentation, Data Quality, Data Security, Machine Learning

Industry

Furniture and Home Furnishings Manufacturing

Description

Description Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands such as Max & Lily, Plank + Beam, and Maxtrix. Since launching over two decades ago, we have established multiple sales channels including our DTC websites and third-party marketplaces. We’re passionate about creating an inspiring and engaging shopping experience for our customers, bringing their home decor dreams to life with stunning, on-trend pieces. We are seeking a new member to add to our team. Are you ready to be a part of something amazing? We are seeking a highly skilled Data Integration Engineer to join our team and lead efforts in data transport, integration, and analytics enablement. This role is critical to ensuring seamless data flow across systems, enabling business intelligence teams to build impactful analytics tools, and maintaining best practices in data architecture and visualization. Key Responsibilities Data Transport & Integration Design, develop, and maintain robust ETL pipelines for structured and unstructured data. Integrate data from external sources including APIs, third-party platforms, and legacy systems. Ensure data quality, consistency, and security across all transport layers. Data Warehouse Management Architect, implement, and manage scalable data warehouse solutions. Optimize data storage and retrieval for performance and cost-efficiency. Monitor and troubleshoot data warehouse operations and performance. Analytics Enablement Collaborate with BI and analytics teams to support the development of dashboards, reports, and data models. Provide clean, well-documented datasets for use in Power BI and other visualization tools. Assist in translating business requirements into technical specifications for analytics solutions. API & Integration Management Oversee and maintain current API connections and integrations with third-party systems. Evaluate new software tools and applications for compatibility with existing systems. Develop detailed action plans to implement and sustain integrations effectively. Development & Maintenance Write, test, and maintain backend code using Python, Node.js, and TypeScript. Resolve issues related to system integrations and inter-application communication. Balance ongoing maintenance tasks with large-scale project development. Collaboration & Documentation Work independently while collaborating closely with Analytics and Development teams. Communicate complex technical concepts to non-technical stakeholders. Maintain up-to-date documentation of system integrations and architectural decisions. Requirements Mid to senior-level experience in backend development and system integration. Bachelor’s degree in Computer Science, Engineering, or related field preferred. Proven expertise in ETL processes and data transport mechanisms. Strong experience with RESTful APIs and legacy system integration. Proficiency in Python, Node.js, and TypeScript. Solid understanding of API design, integration patterns, and backend architectures. Experience with SQL and NoSQL databases. Familiarity with Power BI or other data visualization tools. Experience with AI technologies and machine learning frameworks. Excellent communication and problem-solving skills. Collaborative mindset with the ability to work independently and in teams. This role is based in our Charleston, SC office. Preference given to candidates available for hybrid work. *This position is not eligible for employer visa sponsorship. Candidates must already have permanent work authorization*

Responsibilities

The Data Integration Engineer will design, develop, and maintain ETL pipelines, ensuring seamless data flow across systems. This role also involves collaborating with BI teams to support analytics development and maintaining API integrations.