Data Engineer 2

Role Overview

As a Data Engineer 2, you’ll help build the foundation that enables data-driven decision-making across the organization. You’ll develop scalable data pipelines, enterprise data assets, and innovative data solutions that empower reporting, analytics, and advanced business insights.

What You Will Do

Design, develop, test, and maintain scalable data pipelines, build and support enterprise data assets, develop and optimize ELT/ETL processes, partner with business stakeholders, analyze source systems and business processes, implement and maintain data quality controls, troubleshoot and resolve data pipeline failures, design and implement data models, optimize data storage and processing, collaborate with other teams, and participate in the evaluation and implementation of new data engineering tools and technologies.

Why It Might Be a Fit

This role offers the opportunity to work across a wide range of business domains, partner with technical and business stakeholders, and contribute to the ongoing modernization of our enterprise data ecosystem. You’ll play a critical role in delivering trusted data that helps drive strategic initiatives and business outcomes.

Requirements

• Bachelor’s degree in computer science, information systems, data analytics, engineering, or a related field
• At least 5 years of experience building and maintaining scalable data pipelines and data integration solutions
• At least 5 years of experience delivering data warehouse, analytics, or business intelligence solutions in an enterprise environment
• Strong proficiency in SQL and data transformation techniques
• Experience working with relational dimensional and analytical data models
• Experience with cloud data platforms, data lakes, data warehouses, or lakehouse architectures preferred
• Experience using source control, automated testing, CI/CD practices, and DevOps methodologies preferred
• Experience supporting reporting, business intelligence, self-service analytics, or AI/ML data initiatives preferred
• Financial services or other regulated industry experience preferred

Benefits

• Dental insurance
• Vision insurance
• Hybrid work from home opportunity
• Indoor work environment
• Some sedentary work and occasional lifting and/or carrying up to 25 pounds

Tagged as: Data Analysis, SQL