Data Engineer

Job Description The Data Operations team builds capabilities and owns practices that enable seamless data usage across the company. The team collaborates with stakeholders to understand requirements, develop scalable solutions, solicit feedback, deploy models, and ensure high-quality data products. Engineers on the Data Operations team bring a pragmatic approach to building robust, efficient, and well-documented data models. They balance speed with accuracy, ensuring that our data infrastructure evolves to meet the needs of our growing business 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.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements BS/BA in Computer Science, Information Systems, Mathematics, or a related technical field (or equivalent work experience). 2+ years of experience in a data engineering, BI, or analytics role. 1+ years of experience working in financial services and/or SaaS companies. Experience in dbt and modern data modeling best practices. Version controlling via Git is a must Experience working in startup environments is a plus. Competencies (Attributes Necessary for Success in this Role): Strong proficiency in SQL, with experience in Multiple SQL Syntaxes (Redshift, Snowflake, and Trino (Iceberg). Deep understanding of dbt, including model development, macros, and Jinja templating. Experience with BI tools, such as Tableau, and a working knowledge of data source construction. Strong stakeholder communication skills, particularly in guiding teams through infrastructure changes. Experience refactoring SQL and dbt models to support infrastructure migrations