Senior Data Engineer

Sollis Health•New York, NY

7d•$130,000 - $155,000•Remote

About The Position

The Senior Data Engineer reports to the Sr Director of Engineering and is responsible for defining and implementing a unified data architecture to streamline and enhance data access, storage, and reporting across the company. You will define standards and best practices for data governance, meet with and understand the data and reporting needs of various teams, and create robust reporting mechanisms. Additionally, you will lead efforts to integrate AI technologies into our data workflows to unlock predictive insights and advanced analytics capabilities. The role is open to remote work in the following states only California, Colorado, Connecticut, Florida, Illinois, Louisiana, Maryland, Nevada, New Jersey, New York, Pennsylvania, Texas, Virginia, Washington and Wisconsin.

Requirements

Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, or related field
7+ years of experience in data architecture, data engineering, or related roles.
Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques including Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB
Solid understanding of data governance, security practices, and privacy laws (HIPAA, CCPA).
Excellent problem-solving skills and a strategic mindset with the ability to influence key stakeholders.

Nice To Haves

Prior Experience working in healthcare, clinical experience preferred

Responsibilities

Design and implement a scalable, robust, and consistent data architecture, aligned with business objectives, that supports both operational and analytical needs.
Own and support data pipelines integrating data sourced across multiple systems. Deliver a highly available data platform leveraged by business users across the enterprise.
Partner with engineering teams to integrate AI and machine learning models into the data architecture, enabling predictive analytics, automation, and improved decision-making capabilities.
Work closely with business and project stakeholders to deliver data solutions for a diverse set of problems.
Help ensure security, privacy, and compliance for all data assets and workflows.
Create comprehensive documentation for data processes, structures, and pipelines. Provide training and support to ensure best practices are followed throughout the organization. Design and develop data pipelines for data collection, analysis, and related functions.
Establish and enforce data governance standards, ensuring data consistency, accuracy, and integrity across all systems and departments.
Provide thought leadership for technical architecture design, development, and deployment to support enterprise-wide data needs.
Performs related duties as requested