Data Solutions Engineer

Description We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making.

Responsibilities:

- Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration.

- Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes.

- Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources.

- Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs.

- Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases.

- Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency.

- Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives.

- Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions.

- Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization. Requirements

- Proven experience in data engineering with strong knowledge of ETL design, development, and support.

- Experience with Shopify is required.

- Retail industry experience strongly preferred.

- Hands-on expertise with Data Stage ETL in enterprise data integration environments.

- Strong background building reporting and analytics solutions using Power BI, including semantic models and reusable datasets.

- Experience with Microsoft SSRS for operational or business reporting delivery.

- Solid understanding of data warehousing concepts, dimensional modeling, and scalable data architecture practices.

- Ability to lead or mentor technical teams while working effectively with business partners and cross-functional stakeholders.

- Familiarity with version control practices such as Git and a disciplined approach to development standards.

- Exposure to machine learning or AI-related data use cases is a plus.

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