Data Engineer - CCAS

Insight Global; Woonsocket (RI); On-site; USD 110,000 - 150,000; Full time

Job summary

Insight Global is seeking Data Engineers to join a hands-on, production-focused team responsible for building and supporting large-scale data solutions. The role emphasizes PySpark, SQL, and cloud technologies to ingest and process call center transcript data and enable analytics and AI-driven insights.

The ideal candidate will contribute to scalable pipelines, data modeling, and ETL/ELT processes, ensuring production-grade reliability and performance across data platforms such as GCP or Azure.

Qualifications

• 3-5 years of experience in Data Engineering.
• Hands-on PySpark expertise required.
• Advanced SQL skills with large datasets.
• Experience building production data pipelines.
• Experience with GCP or Azure cloud platforms.
• Strong data modeling and ETL/ELT knowledge.
• Excellent problem-solving and troubleshooting abilities.

Responsibilities

• Ingest and process call center transcript data.
• Develop scalable data pipelines.
• Enable data science models to run in production.
• Build and support large-scale data solutions.

Skills

PySpark

SQL

Data modeling

ETL/ELT

Production pipelines

GCP

Azure

Tools

GCP

Azure

Job description

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 [e-mail] 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/.

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