Remote Data Engineer

Job Description

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.

• 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

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.

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• Formal education in Computer Science
• Strong understanding of data transformation and analytical workflows
• Strong ETL experience required (mandatory for at 2 one openings
• Programming & Scripting experience (python proficiency preferred)
• 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)