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.

Essential Duties and Responsibilities

· 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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Qualifications

· 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

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.