Integration analyst Jobs in USA

Position Summary:

• We’re seeking a motivated and detail-oriented ECM Integration Analyst/Data Scientist to join our development team.
• In this role, you’ll work closely with senior team members to help in implementing and supporting integrations between the Enterprise Content Management (ECM) platform and internal/external systems, support data-driven solutions in the healthcare space.
• You’ll be involved in data analysis, feature development, and data pipeline support, making sure data is clean, consistent, and easy to use for analytics and machine learning.
• This role focuses on designing prompt engineering workflows for LLM based applications.
• The ideal candidate is passionate about data, eager to solve complex problems, and comfortable working in a fast-paced, collaborative environment .

Responsibilities:

• Generate clean and consistent training and testing datasets to support machine learning and analytical models and assist in preparing models for deployment while working with production teams to monitor performance.
• Design, test, and optimize prompts for LLMs to support structured data extraction, summarization, and decision support.
• Develop reusable prompt templates with system, user, and context instructions to ensure consistent and compliant AI outputs.
• Iteratively refine prompts using evaluation metrics, error analysis, and real-world feedback.
• Design, develop, support, and manage end-to-end data pipelines (ETL/ELT) in collaboration with machine learning engineers, ingesting data from multiple sources including Excel, CSV, APIs, and databases, and contributing to pipeline design, optimization, and scalability.
• Perform data transformation, validation, monitoring, and audit logging to ensure accurate, reliable, and scalable data workflows.
• Write and maintain SQL queries involving joins, subqueries, CTEs, and window functions to support data analysis and feature development.
• Work with cloud platforms such as AWS or Azure to support analytics and model-related workloads in cloud-based environments.
• Develop data workflows using Python for automation, data processing, and integration of tasks.
• Help maintain data governance by ensuring standardized, traceable, and consistent data usage across analytics and machine learning solutions.
• Monitor and implement processes involved in document management system integration.
• Document data processes, schemas, feature definitions, transformation logic, and workflows to support future maintenance and governance.
• Communicate data insights and analytical findings effectively to both technical and non-technical stakeholders.

Required Qualifications:

• Bachelor's or master's degree in computer science, Data Science, Statistics, or a related quantitative field 3+ years of experience in data science, data engineering, with a focus on data infrastructure and machine learning workflows.

Required Technical Skills:

• Experience with system integration tools and middleware involved with document management systems.
• Strong understanding of ECM system architecture and data mapping.
• Hands-on experience with Python libraries such as Numpy, Pandas, Seaborn, Scipy, Sklearn, Torch, Transformers and FastAPI for data processing and automation.
• Experience in building different models such as Logistic regression, Random Forest and Neural networks (NLP) Experience in building vector databases such as Elastic for advanced searching on documents.
• Experience building ETL pipelines using tools such as SSIS or Python-based workflows.
• Experienced in designing and consuming RESTful APIs using C#/.NET.
• Experience working with Excel, CSV, and JSON data sources.
• Strong understanding of relational databases (SQL Server or equivalent).
• Basic familiarity with ClickHouse as a high-performance analytical database for large-scale data analysis use cases.
• Familiarity with Generative AI and LLM-based applications, including AI agents and modern AI development tools, supported by recent professional certification. Powered by JazzHR