Data Engineer

The Data Engineer II is a self-sufficient, fully capable contributor who designs, builds, and supports dependable, scalable data solutions with limited guidance. This role is accountable for mid- to high-complexity data pipelines and datasets, ensures the integrity of analytics, and proactively troubleshoots issues across data and reporting platforms while adhering to established architecture standards., * Design, develop, and maintain moderately complex data pipelines, datasets, and integrations.

• Independently analyze requirements and translate them into accurate, supportable technical solutions.

• Optimize queries, data models, and transformations for performance, reliability, and maintainability.

• Perform thorough data validation and ensure accuracy prior to deployment and reporting consumption.

• Troubleshoot and resolve data and reporting issues end-to-end without routine supervision.

• Apply development architecture and coding best practices consistently.

• Contribute to process improvements, standards, and documentation.

• Collaborate with cross-functional partners to support business data and reporting needs.

• Participate in peer reviews and provide constructive, actionable feedback.

• Thrive in a fast paced, schedule driven environment by effectively managing and pivoting between multiple complex workstreams.

• Other duties as assigned.

90-110k

• Strong proficiency in SQL and relational databases.

• Solid experience with ETL development and data integration patterns.

• Working knowledge of dimensional modeling and reporting dependencies.

• Hands-on experience developing or supporting enterprise analytics solutions, including data pipelines, centralized data platforms, and semantic models.

• Strong understanding of business intelligence concepts such as dataset design, data modeling, refresh behavior, and report dependencies.

Bachelor's degree in Computer Science, MIS, or equivalent education and experience.

3-6 years of relevant experience. NA