Data Engineer (remote)

Claritev is a dynamic team of innovative professionals striving to bend the cost curve in healthcare. The Data Engineer will be responsible for developing and deploying Data Engineering Platform and Integration Solutions, working closely with the Data Engineering team to implement data solutions and support data needs across the enterprise.

Responsibilities:

• Understand business processes and how they are modeled in various systems
• Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
• Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes
• Maintain scalable data pipelines to support continuing increases in data volume and complexity
• Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
• Managing and improving the performance of our database, queries, tools, and solutions
• Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines
• Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
• Identify and analyze data patterns
• Identify ways to improve data reliability, efficiency and quality
• 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
• Collaborate, coordinate, and communicate across disciplines and departments
• Ensure compliance with HIPAA regulations and requirements
• Demonstrate Company’s Core Competencies and values held within

Requirements:

• Minimum High School Graduate and 4+ years' related experience, two (2) of which should be inclusive of experience with schema designing, developing, and maintaining data processing systems
• Experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as Python and PySpark
• Database development experience using ETL Process, SQL, SPARK, or BigQuery and experience with Delta Lakes and Data Warehouse, use of Databricks
• 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 agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines
• Excellent communication skills (verbal, listening and writing)
• Ability to build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
• 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
• Strong attention to detail when identifying data relationships, trends, and anomalies
• Ability to meet strict deadlines, work on multiple tasks and work well under pressure
• Bachelor's degree in computer science, information technology or a similarly relevant field is highly preferred
• Licensures, professional certifications, and/or Board certifications as applicable is a plus