Data Engineer

Insight Global
Indianapolis, IN, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Architecture Extract Transform Load (ETL) JSON Jinja (Template Engine) Python (Programming Language) Software Engineering Information Technology Terraform Databricks

Job description

Insight Global is looking for a Data Engineer to support a large healthcare client in a remote capacity. The Data Engineer will be responsible for developing and maintaining new and existing data ETL pipelines and data source marts for internal use under general supervision. Additionally, they will provide support on development projects, participate in the full development life cycle including requirements analysis.

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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC ā€œKnow Your Rightsā€ Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Requirements

3-5 years of experience in an information technology field

Experience with Python, Terraform, and Databricks

Understanding of JSON, jinja templates, and Lakehouse Data Architecture

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