Data Engineer Business IntelligenceFusion Connect • Lancaster, CA, United States
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Data Engineer Business Intelligence
Fusion Connect • Lancaster, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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). 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.
Data Engineer
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.
Key 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.
Required Qualifications
Preferred Qualifications
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Data Engineer • Lancaster, CA, United States
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