Insight Global is looking for a Senior Manager of Data Engineering, you will lead a team of skilled data experts, engineers, and analysts dedicated to establishing a strong foundation and advancing the next generation of data engineering solutions. This team plays a pivotal role in enabling our team to effectively harness data, driving data strategy and fostering innovation. With the growing emphasis on data-driven decision-making, this position is essential in overseeing the development, and maintenance of engineering practices that supports analytics and business intelligence.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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
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Bachelors degree in Data Science, Computer Science, Information Technology, Engineering, Business, or related field, or at least 12 years relevant technical experience
Expertise in Azure and modern data architectures, including Azure Data Factory, Synapse Analytics, Databricks, Data Lake, Cosmos DB, and real-time streaming solutions.
Strong understanding of data engineering best practices, including data warehousing, lakehouses, batch/streaming pipelines, and metadata management.
Proficient in database technologies, spanning relational (SQL Server, PostgreSQL) and NoSQL systems (Cosmos DB, MongoDB), with experience integrating BI tools like Power BI and Tableau.
Knowledge of DevOps/DataOps methodologies, including infrastructure-as-code, CI/CD, version control (Git), and testing frameworks for scalable data pipeline automation.
Benefit packages for this role will start on the 31st 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.