Data Platform Engineer

Apogee Enterprises, Inc.; Minneapolis (MN); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive Benefits Package

401(k) with employer contribution

Paid Time Off

Tuition Reimbursement Program

Job summary

Apogee Enterprises, Inc. seeks a Data Platform Engineer to enhance their Data Analytics environment. The role involves designing and maintaining data pipelines, collaborating on data solutions, and implementing best practices for data governance.

Applicants should hold a Bachelor's degree, have 3-5 years of experience, and be proficient in SQL and data modeling. A hybrid work environment offers flexibility, complemented by a competitive benefits package that includes medical, 401(k), and more.

Qualifications

• 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.
• Excellent communication skills to explain complex technical concepts to non-technical stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipeline architectures.
• Collaborate with teams to understand data requirements and translate into technical solutions.
• Monitor and troubleshoot data pipeline performance issues.

Skills

SQL

Data modeling

Data warehousing

Databricks

Microsoft Power BI

Problem-solving

Communication

Education

Bachelor's in computer science, Engineering, or a related field

Tools

Microsoft Azure framework

Snowflake Data Cloud

Job description

Company

Apogee Services Inc.

Position Summary

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.

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

Required

• 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
• Experience with Databricks
• 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

Preferred

• Master’s degree
• Experience with Snowflake Data Cloud
• Proficient in the Microsoft Azure framework (e.g., Analysis Service, Data Factory, …)

Work Environment

This position operates in a hybrid work environment, with a combination of on-site office presence and remote work. The role involves primarily sedentary work, with extended periods of sitting and frequent use of computers and standard office equipment. Regular participation in virtual and in-person meetings is required, including collaboration with team members and stakeholders across multiple locations.

Salary Range

$80,000-$100,000

Our 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