Data Engineer

The Analytics Engineering and Visualization Hub is a centralized team within Finance Digital Transformation focused on building trusted data products that enable Finance and business teams to make smarter, faster decisions. The team develops semantic models, dashboards, and scalable analytics solutions that improve data accessibility, consistency, and business insight while helping lay the foundation for future AI capabilities., As an Associate Data Engineer, you will help build and maintain the data solutions that power reporting, analytics, and decision-making across the organization. This is an excellent opportunity for a recent graduate who enjoys working with data, solving problems, and learning modern cloud technologies., You will work alongside experienced data engineers, analysts, and business stakeholders to transform raw data into reliable, reusable, and business-ready data products. Through mentorship and hands-on experience, you will develop skills in data engineering, cloud platforms, data modeling, and analytics., * Support the development and maintenance of data pipelines that ingest, transform, and prepare data for analytics and reporting \n

• Work with team members to integrate data from multiple business systems using Microsoft Fabric and related tools \n

• Assist in building and maintaining lakehouses, warehouses, and semantic models \n

• Write SQL queries to validate, transform, and analyze data \n

• Help monitor data quality, troubleshoot issues, and improve pipeline reliability \n

• Participate in data governance, documentation, and best practice initiatives \n

• Collaborate with analysts, engineers, and business stakeholders to understand data requirements and business needs \n

• Learn and contribute to self-service analytics solutions that empower business users \n

• Support testing, deployment, and ongoing maintenance of data products \n

• Continuously grow your technical skills through training, mentorship, and project-based learning \n, * Internship, co-op, capstone project, or coursework involving data engineering, analytics, or cloud technologies \n

• Exposure to Microsoft Fabric, Azure, Databricks, Power BI, Snowflake, AWS, or similar data platforms \n

• Familiarity with SQL, Python, Power Query, or other data transformation tools \n

• Understanding of data modeling and data warehousing concepts \n

• Experience creating reports, dashboards, or visualizations using Power BI, Tableau, or similar tools

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Finance, or a related field \n

• Recent graduate or up to 2 years of relevant experience through internships, co-ops, academic projects, research, or professional work \n

• Basic understanding of SQL and relational databases \n

• Exposure to data analytics, data engineering, reporting, or business intelligence concepts through coursework, internships, or projects \n

• Strong analytical and problem-solving skills \n

• Eagerness to learn new technologies and work in a collaborative team environment \n

• Authorized to work in the United States without sponsorship \n

Brooksource Elevate is an early-career development program designed to help recent graduates launch successful careers in technology. Through hands-on project work, mentorship, technical training, and professional development opportunities, associates gain real-world experience while building the skills needed to grow into future technology leaders.