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Ziegler Companies

Data Engineer

Data EngineeringUpdated on Nov 12
Full-timeBloomington, MN, USA$95.1k - $118.8k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent experience.
  • At least 3 years of experience in data engineering, data warehousing, ETL/ELT development, or related fields.
  • Experience designing and supporting enterprise data warehouse solutions.
  • Experience with Microsoft Fabric, Azure Data Services, or comparable cloud-based data platforms.
  • Strong proficiency with SQL and relational database design.
  • Experience developing and maintaining data integration solutions and enterprise interfaces.
  • Strong understanding of dimensional modeling, star schemas, and data warehouse architecture.
  • Experience working with data pipelines, orchestration tools, and data transformation frameworks.
  • Strong troubleshooting, problem-solving, and analytical skills.
  • Ability to work effectively across departments and organizational levels.
  • Ability to manage multiple priorities and projects.
  • Attention to detail and commitment to data quality.
  • Ability to use hands, talk, and hear.

Responsibilities

  • Design, develop, maintain, and optimize enterprise data warehouses and data platforms using Microsoft Fabric.
  • Develop, manage, and monitor ETL/ELT pipelines for operational reporting, analytics, business intelligence, and data integration initiatives.
  • Design and implement scalable data architectures that support current and future business needs.
  • Build and maintain integrations among ERP systems, CRM systems, cloud applications, third-party vendors, and internal business applications.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
  • Ensure data integrity, quality, consistency, and accuracy across enterprise systems.
  • Implement and maintain data governance, security, and compliance standards.
  • Monitor and troubleshoot data pipelines, integrations, and warehouse performance, and identify improvement opportunities.
  • Develop and maintain data models, dimensional structures, and reporting datasets for business intelligence initiatives.
  • Partner with Business Intelligence, Power BI, and application development teams to deliver reliable and performant data solutions.
  • Establish and enforce data engineering standards, development processes, and documentation practices.
  • Evaluate emerging technologies and recommend improvements to the data platform and architecture.
  • Provide technical leadership, mentoring, and coaching to team members and new hires.

About the Company

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