Data Engineer, Business Intelligence

Fusion Connect

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States

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Mid-LevelSenior

AWSAzureCloudERPETLGoogle Cloud PlatformPythonSQLTableau

About the role

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.

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.
Experience working in cloud environments (AWS, GCP, or Azure).
Preferred: Experience with CI/CD pipelines for data workflows.
Preferred: Familiarity with data governance frameworks and privacy regulations (e.g., GDPR, CCPA).
Preferred: 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.