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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer/Developer - **Company:** Insight Global - **Location:** Groton, CT, United States - **Experience:** Experienced - **Salary:** $133,120.0 - $166,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Cloud Computing, Computational Biology, Information Systems, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Enterprise Document Management System, Machine Learning, Feature Engineering, Azure Data Factory, Snowflake, Change Data Capture, Data Layers, Information Technology, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/connecticut/groton/data-engineer-developer/job-560874/ ## About the Role Bachelor's degree in Computer Science, Data Science, Information Systems, Bioinformatics, Engineering, or related field required - 3+ years of hands-on data engineering experience with a strong focus on datamart development and ETL pipeline delivery - 2+ years of production-level Snowflake experience in an enterprise environment - Demonstrated experience building AI/ML-ready data pipelines and feature engineering frameworks - Proven track record delivering data solutions that span multiple heterogeneous source systems Nice to Have Skills & Experience - Master's degree in Data Science, Computational Biology, or related discipline preferred - Snowflake SnowPro Core Certification - Snowflake SnowPro Advanced: Data Engineer - dbt Analytics Engineering Certification - Microsoft Certified: Azure Data Engineer Associate (DP-203) ## Description Insight Global is seeking a Data Engineer / Developer to support a global pharmaceutical client within their External Development and Manufacturing Solutions (EDMS) organization. This individual will be responsible for designing, building, and maintaining enterprise data solutions that support advanced analytics, AI/ML initiatives, and business intelligence across drug development, clinical operations, manufacturing, and supply chain functions., The ideal candidate will have deep experience with Snowflake, ETL/ELT development, data modeling, and data warehouse architecture. This role requires a hands-on engineer who can develop scalable, governed data solutions while partnering with data scientists, business stakeholders, and technical teams to enable high-quality, AI-ready data assets., Design, develop, and maintain enterprise data warehouses and datamarts within the Snowflake platform. - Build scalable dimensional data models, including star and snowflake schemas, to support reporting, analytics, and AI/ML use cases. - Develop and optimize data views, semantic layers, and data products for business intelligence and machine learning consumption. - Create, maintain, and monitor ETL/ELT pipelines that ingest, transform, and load data from multiple enterprise source systems. - Implement data integration strategies including incremental loads, change data capture (CDC), and slowly changing dimensions (SCD). - Partner with data scientists and business stakeholders to translate analytical and AI requirements into scalable data solutions. - Support data harmonization and entity resolution efforts across multiple pharmaceutical and operational data sources. - Establish and maintain data quality standards, validation rules, and governance practices. - Collaborate with cloud infrastructure, security, and architecture teams to ensure data platform scalability, security, and compliance. - Troubleshoot data issues, optimize performance, and support the ongoing enhancement of enterprise data assets. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)