Lead Data Engineer

Insight Global is seeking Data Engineers at multiple levels to support both analytical and transactional data platforms. These roles will focus on data transformation, analytics enablement, and collaboration with cross‑functional teams to validate and optimize data pipelines. The ideal candidates bring strong programming fundamentals, hands‑on ETL experience, and comfort working in modern analytics platforms such as Databricks. Key Responsibilities • Design, build, and maintain ETL pipelines to support analytics, reporting, and downstream consumption • Perform data transformations and analytics workflows primarily within Databricks • Collaborate closely with business and technical teams to validate data accuracy, logic, and transformations • Support AI/ML workflows, including rapid prototyping and iterative development • Work with structured and transactional data stored in RDBMS and analytics platforms • Contribute to data quality, performance tuning, and scalable pipeline design • For senior/lead roles: provide technical guidance, best practices, and design oversight Required Qualifications Formal education in Computer Science • Programming & Scripting • Proficiency in Python • Experience with enterprise languages such as Java, C++, or C# • FastAPI experience is a plus • ETL & Data Engineering • Strong ETL experience required (mandatory for at least one opening) • Experience with SSIS is acceptable • Experience with ETL tools such as Smart QN and Flow Stream • Strong understanding of data transformation and analytical workflows • Less focus on raw ingestion; more focus on searching, transforming, and validating data • Platforms & Tools • Hands‑on experience with Databricks • Experience with analytics platforms such as Hadoop, Snowflake, or Teradata • Strong SQL skills and experience working with transactional databases (RDBMS) $65/hr - $70/hr based off of experience