Senior Data Engineer (Remote)

Claritev is a dynamic team of innovative professionals dedicated to transforming healthcare through technology and data solutions. The Senior Data Engineer will develop and deploy engineering and integration solutions, working closely with data architects and the machine learning team to implement data solutions and support data needs across the organization.

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
• Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes
• Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity
• Guiding decisions and establishing 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 to power reports(Tableau), dashboards, predictive models, and downstream analysis
• Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
• Prepare data for predictive and prescriptive modeling
• 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
• Document high and low level technical design
• Draw performance reports and strategic proposals from analyses results for senior data science leadership
• 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 diploma and five years' of relevant experience within data engineering
• Bachelors' degree in computer science, information technology or a similarly relevant field is highly preferable
• Required licensures, professional certifications, and/or Board certifications as applicable
• Minimum of 3 years of experience with OOP, SQL, schema designing, data modeling, designing, building, and maintaining data processing systems
• Strong experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as R, Python, Java, others
• Database development experience using SQL, SPARK, or BigQuery and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB, Cassandra
• Extensive 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
• Experience building infrastructure required for optimal extraction, transformation, and loading of data from diverse data resources
• Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines
• Excellent communication skills (verbal, listening and written)
• Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
• Strong attention to detail when identifying data relationships, trends, and anomalies
• 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
• Ability to provide mentoring to a team of data engineers
• Ability to prioritize and manage multiple projects and requests at any one time
• 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
• Individual in this position must be able to work in a standard office environment which requires sitting and viewing monitor(s) for extended periods of time, operating standard office equipment such as, but not limited to, a keyboard, copier and telephone
• Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka
• Exposure to containerization using Docker, Kubernetes etc
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics