Senior Data Engineer (Remote)

3w3 weeks ago

Claritev

US · Full-time · $130,000 – $170,000

About this role

At Claritev, we are a dynamic team of innovative professionals on a mission to bend the cost curve in healthcare. As a Senior Data Engineer, you will be part of the team responsible for developing and deploying Engineering and Integration solutions that drive our data infrastructure forward.

Your day-to-day work involves designing, organizing, and implementing data structures, workflows, and integrations between enterprise platforms. You will develop and maintain scalable data pipelines, build new API integrations, and write complex queries to transform raw data into accessible models for reporting and analysis.

You will collaborate closely with Data Architects and the Machine Learning Team to implement data solutions using Python, Java, Kafka, and other big data technologies. This role also requires ensuring compliance with HIPAA regulations due to exposure to PHI sensitive data, making it a high-risk and privileged position.

This is an opportunity to be part of an amazing transformational journey as we optimize toward becoming a leading technology, data, and innovation voice in healthcare. You will help guide decisions on data integration and engineering best practices while contributing to a culture that champions diversity, accountability, and innovation.

Requirements

Experience using Python, Java, Kafka, and other big data solutions for data engineering.
Ability to design, organize, and implement data structures, workflows, and integrations between enterprise platforms.
Proven skill in creating technical specification documents and test plans.
Experience developing and maintaining scalable data pipelines and API integrations.
Strong SQL skills for writing complex and efficient queries and managing data warehouses, databases, and ingestion pipelines.
Knowledge of HIPAA regulations and ability to handle PHI sensitive data in a high-risk privileged role.
Experience working closely with Data Architects and Machine Learning Teams to implement data solutions.
Familiarity with reporting tools like Tableau and ability to power dashboards and predictive models.

Responsibilities

Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure accurate and timely execution of business processes.
Develop and maintain scalable data pipelines and build out new API integrations to support increasing data volume and complexity.
Write complex and efficient queries to transform raw data sources into easily accessible models for teams and reporting platforms.
Prepare data for predictive and prescriptive modeling and identify data patterns to improve data reliability, efficiency, and quality.
Work with analytics, data science, and wider engineering teams to automate data analysis and visualization needs and advise on transformation processes.
Document high and low level technical design and draw performance reports and strategic proposals for senior data science leadership.
Ensure compliance with HIPAA regulations and requirements due to exposure to PHI sensitive data.
Collaborate, coordinate, and communicate across disciplines and departments to support enterprise data solutions.

Benefits

Flexibility to work remotely from anywhere in the United States.
Be part of a purpose-driven team bending the cost curve in healthcare for all.
Opportunity to work with cutting-edge big data technologies and influence data infrastructure decisions.
Culture that champions diversity, accountability, innovation, and empowers each other to illuminate collective potential.