Data Engineer

Click the 'Apply' button to learn more about MultiPlan and the role. Then, you can choose to apply directly with MultiPlan or use AI to assist your application powered by Offered. 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 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. JOB REQUIREMENTS (Education, Experience, and Training): *Must have 4 years' related experience, three (3) of which should be inclusive of experience with OOP, SQL, schema designing, data modeling, designing, building, and maintaining data processing systems. Experience with databricks, Lakehouse, and data factory is a MUST * Experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as PySpark. * Experience with data marts. * Database development experience using SQL, SPARK, or BigQuery and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB, Cassandra * Experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues. * Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification. * Exposure to Big Data Development using Hive, Impala, Spark, and familiarity with Kafka (preferred) * Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics * Exposure to agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines. * Exposure to containerization using Docker, Kubernetes etc. * Excellent communication skills (verbal, listening and written) * Ability to build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management. * Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows. * An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems * Able to prioritize and manage multiple projects and requests at any one time * Strong attention to detail when identifying data relationships, trends, and anomalies. * Thinking through long-term impacts of key design decisions and handling failure scenarios. * Ability to effectively share technical information, communicate technical issues and solutions to all levels of business * Ability to meet strict deadlines, work on multiple tasks and work well under pressure. *Minimum high school diploma required. Bachelors' degree in computer science, information technology or a similarly relevant field is highly preferred. * Required licensures, professional certifications, and/or Board certifications as applicable COMPENSATION: The salary range for this position is $95,000 to $100,000. Specific offers take into account a candidate's education, experience and skills, as well as the candidate's work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity. BENEFITS We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities. Your benefits will include: Medical, dental and vision coverage with low deductible & copay Life insurance Short and long-term disability 401(k) + match Generous Paid Time Off Paid company holidays Tuition reimbursement Flexible Spending Account Employee Assistance Program Summer Hours Employee Stock Option Purchase Plan EEO STATEMENT MultiPlan is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here .

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