Remote Data Engineer

Company: Lensa

Location: Irving, TX (Remote)

Type: Full-time

Level: mid

Remote: Yes

Posted: 2026-02-26

About this role

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Insight Global. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.


Job Description
Insight Global is seeking Data Engineers 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


Work with structured and transactional data stored in RDBMS and analytics platforms


Contribute to data quality, performance tuning, and scalable pipeline design


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, m...

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