Job Description

Imagine a workplace that encourages you to interpret, innovate and inspire. Our employees do just that by helping healthcare payers manage the cost of care, improve competitiveness and inspire positive change. You can be part of an established company with a 40-year legacy that helps our customers thrive by interpreting our client's needs and tailoring innovative healthcare cost management solutions.

Our commitment to diversity, inclusion and belonging are part of the fabric of our company. We strive to create a workplace that fosters mutual respect and collaboration, where every talent individual can participate and perform their best work. We are Claritev (formerly MultiPlan) and we are where bright people come to shine!

This role will be part of the team responsible for developing and deploying Engineering and Integration solutions. Primary responsibility will be to work closely with the Data Architects to implement data solutions for the organization using IDMC, Snowflake, Python, Java and other big data solutions, creating technical specification documents. 

JOB ROLES AND RESPONSIBILITIES:

1.) Understand business processes and how they are modeled in various systems
2.) Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
3.) Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
4.) Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
5.) Guiding decisions and establishing best practices on data integration/engineering, as well as the future of our data infrastructure.
6.) Managing and improving the performance of our database, queries, tools, and solutions.
7.) Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports(Tableau), dashboards, predictive models, and downstream analysis
8.) Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
9.) Prepare data for predictive and prescriptive modeling
10.) Identify and analyze data patterns
11.) Identify ways to improve data reliability, efficiency and quality
12.) Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
13.) Document high and low level technical design
14.) Draw performance reports and strategic proposals from analyses results for senior data science leadership
15.) Collaborate, coordinate, and communicate across disciplines and departments.
16.) Ensure compliance with HIPAA regulations and requirements.
17.) Demonstrate Company's Core Competencies and values held within.

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