Data Platform Engineer

Apogee Enterprises, Inc. • Minneapolis, MN

1d • $80,000 - $100,000 • Hybrid

About The Position

Apogee’s Data, Analytics & Integration organization focuses on implementing processes and solutions for Data Governance, Master Data Management, Data Analytics and Integration. This Data Platform Engineer will fill a critical role in enhancing and supporting the Data Analytics environment for prioritized Apogee Data Domains; educating our IT & Business Partners; implementing and supporting future Data Integration and Data Analytics solutions; and consulting on data-related projects from the data engineering perspective across the organization.

Requirements

• Bachelor's in computer science, Engineering, or a related field
• 3-5 years of experience in data engineering, with a proven track record of designing and implementing complex data pipelines
• Strong expertise in SQL, data modeling, and data warehousing concepts
• Proficient in the Microsoft Azure framework (e.g., Analysis Service, Data Factory, …)
• Experience with the Microsoft Power BI data visualization tool
• Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• A strong desire to stay up to date with the latest industry trends and advancements in data engineering

Nice To Haves

• Master’s degree
• Experience with Snowflake Data Cloud and Databricks

Responsibilities

• Design, develop, and maintain scalable and robust data pipeline architectures, ensuring data quality and consistency across multiple data sources
• Collaborate with the Business Intelligence team and business stakeholders to understand data requirements and translate them into technical solutions
• Help implement best practices for data governance, data security, and data privacy, ensuring compliance with relevant industry regulations and standards
• Develop and maintain ETL (Extract, Transform, Load) processes to support data ingestion, transformation, and integration from various sources, including APIs, databases, and external data providers
• Monitor and troubleshoot data pipeline performance issues, ensuring timely resolution and minimal downtime
• Organize and monitor testing, training, documentation, and sign offs related to data platforms
• Configure and implement data management and analytic platform changes
• Document data pipeline architectures, workflows, and procedures for internal and external stakeholders
• Work closely with cross-functional teams to support the integration of data-driven insights into business processes and decision-making
• Other duties as assigned

Benefits

• Competitive Benefits Package for employees and their dependents (Medical, Dental, Vision, Life, Disability)
• Incentive Plans
• 401(k) with employer contribution and match
• Employee Stock Purchase Plan with employer match
• Paid Time Off (Vacation and Sick Time)
• Paid Holidays
• Tuition Reimbursement Program
• Employee Assistance Program (EAP)
• Wellness Program
• Training and Career Progression

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level