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Data Engineer
Naperville, IL
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 MultiPlan and we are where bright people come to shine!
This is a remote role, must be available during core hours, 8:30am - 5pm CST
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 Engineering team, Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.
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.) Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
4.) Maintain scalable data pipelines to support continuing increases in data volume and complexity.
5.) Adhere to established 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.) Collaborate, coordinate, and communicate across disciplines and departments.
14.) Ensure compliance with HIPAA regulations and requirements.
15.) Demonstrate Company's Core Competencies and values held within.
16.) Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and priveleged Role.
17.) The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
JOB SCOPE:
The incumbent works independently and relies on judgment and experience to complete job responsibilities. The incumbent possesses an extensive range of knowledge of practices and procedures within the field and acts a resource for less experienced team members. Work is varied and complex.
As an Equal Opportunity Employer, the Company will provide equal consideration to all employees and job candidates without regard to sex, age, race, marital status, sexual orientation, religion, national origin, citizenship status, physical or mental disability, political affiliation, service in the Armed Forces of the United States, or any other characteristic protected by federal, state, or local law. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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