Data Engineer Business Intelligence

Fusion Connect

96d

About The Position

At Fusion Connect, we’re not just offering jobs — we’re building careers that empower, inspire, and grow with you. If you're passionate about making an impact, collaborating with forward-thinking teams, and being part of a company that values your voice, you’re in the right place. We’re thrilled you’re exploring this opportunity with us — take a look, imagine the possibilities, and let’s shape the future of connectivity together. We are seeking a skilled Data Engineer to join our Business Intelligence (BI) team. In this role, you will play a crucial part in building and optimizing the infrastructure that powers data-driven decision-making across the organization. You will work closely with BI analysts and business stakeholders to ensure reliable, timely, and actionable insights through scalable data pipelines and robust data models.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3+ years of experience in data engineering, preferably supporting BI or analytics functions.
• Proficient in SQL and experience with other programming languages (e.g., Python).
• Hands-on experience with ETL tools and data integration patterns.
• Experience with data warehousing platforms.
• Familiarity with BI tools such as Tableau and Power BI.
• Strong understanding of data modeling techniques.
• Experience working in cloud environments (AWS, GCP, or Azure).

Nice To Haves

• Experience with CI/CD pipelines for data workflows.
• Familiarity with data governance frameworks and privacy regulations (e.g., GDPR, CCPA).
• Understanding of agile methodologies and experience working in cross-functional teams.
• Strong problem-solving skills and the ability to communicate technical concepts to non-technical audiences.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to support BI and analytics use cases.
• Collaborate with BI analysts and business stakeholders to understand data needs and translate them into technical requirements.
• Develop and manage data models and data marts that enable efficient reporting and analysis.
• Ensure data quality, integrity, and governance across all BI datasets.
• Optimize data workflows for performance, scalability, and cost-efficiency in cloud and/or on-prem environments.
• Integrate data from multiple sources including internal systems (ERP, CRM, operational databases) and third-party APIs.
• Monitor and troubleshoot data pipelines and workflows to ensure timely data availability.
• Implement and maintain metadata management, data lineage, and documentation for transparency and compliance.
• Support the BI team in developing dashboards, reports, and self-service analytics tools.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees