
Senior Analytics Data Engineer
- Maple Grove, MN
- $82,600 per year
- Permanent
- Full-time
- Design, build, and maintain scalable data models and transformation workflows using Snowflake, DBT, and SQL.
- Develop and manage business-ready datasets and data marts to support dashboards, performance tracking, AI/ML use cases, and marketing/commercial applications.
- Setup, monitor and validate data workflows to ensure accuracy, reliability, and timely delivery.
- Review code written by other team members, providing constructive feedback and ensuring adherence to quality standards.
- Guide and support team members, helping them improve their coding skills and understanding coding best practices.
- Collaborate with Data Product Owners and Business Analysts to gather requirements, translate business needs into technical solutions, and prioritize work based on value and urgency.
- Serve as a data subject matter expert (SME) working directly with marketing, analytics, digital solutions, and commercial stakeholders to quickly assess and resolve data challenges.
- Proactively provide hands-on, responsive support to evolving data needs, from exploratory investigations to production-ready pipelines.
- Maintain clear and thorough documentation for data logic, models, lineage, and workflows.
- Ensure all data processes align with internal governance standards, privacy requirements, and documentation protocols.
- Enable and enhance AI-powered marketing initiatives, including lead scoring, real-time personalization, and optimization models by delivering clean, structured, and accessible data.
- 5+ years of professional experience in data engineering or a similar technical role focused on transforming and modeling data for business use.
- Expertise in SQL, with hands-on experience designing data models and transformation pipelines in Snowflake and DBT.
- Experience in integrating and transforming data from Salesforce.
- Proven ability to work collaboratively with cross-functional partners while operating independently as a data subject matter expert (SME).
- Strong problem-solving skills and ability to provide responsive, hands-on solutions to data-related questions and requests.
- Familiarity with working in regulated industries or with sensitive business data (e.g., healthcare, life sciences).
- Bachelor’s degree in information technology, Computer Science, Engineering, or a related field.
- Excellent communication and documentation skills.
- Experience with marketing data (e.g., campaign performance, lead funnel, audience segmentation, web/media analytics).
- Experience with healthcare claims and prescription data.
- Experience with Python for data transformation or workflow automation.
- Knowledge of BI tools (e.g., Tableau, Power BI) and enabling data for self-service use.
- Experience supporting AI/ML applications (e.g., lead scoring, predictive modeling, personalization).