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Data Engineer - CCAS
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Scorecard
Based on Rhode Island data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$118,915 / year median in Rhode Island
+11% projected growth
Job Description
First Job Previous Job
1,996 of 10,000
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More Like This
Salary Not Available
Position range in Rhode Island $91k
•$148k Per Year Data Engineer
•CCAS
Insight Global
Occupation:
Software Developers
Location:
Woonsocket, RI
•02895
Job Type:
Full Time (30 Hours or More)
Posted:
07/16/2026
Positions available: 1
Source:
NLX
Web Site:
usnlx.com
Job #: 294445522
Job Requirements and Properties
Help for Job Requirements and Properties. Opens a new window. Work Onsite
Full Time Schedule
Full Time
Job Description
Help for Job Description. Opens a new window. Job Description
Insight Global's healthcare client is seeking Data Engineers to join a growing team focused on building and supporting large-scale data solutions that power analytics and AI-driven insights. This team is responsible for ingesting and processing call center transcript data, developing scalable data pipelines, and enabling data science models to operate efficiently in production environments.
This is a highly technical, hands-on individual contributor role that requires strong expertise in PySpark, SQL, and cloud technologies. The ideal candidate enjoys solving complex data challenges and building reliable, production-grade data solutions.
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. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
3-5 years of experience in Data Engineering
Strong hands-on experience with PySpark
Advanced SQL skills and experience working with large datasets
Experience building and maintaining production data pipelines
Experience with cloud platforms such as GCP or Azure
Strong understanding of data modeling, ETL/ELT processes, and distributed data systems
Excellent problem-solving and troubleshooting abilities