Overview The Cloud Data Engineer in VNS Health’s Data Architecture Services Group designs, engineers and administers an enterprise data warehouse serving business and clinical units across VNS Health. Responsible for cloud data warehouse administration. Key job duties include: - Preps technical design documents from functional requirements; designs and engineers ELT/ETL framework; sets up application schemas, develops database code, conducts unit and system testing of end-to-end integration; handles release management and production support as needed. - Works closely with data and analytics team to build greater functionality into data systems; builds and maintains system infrastructure required for optimal extraction, transformation and loading of data from sources across VNS Health, using SQL and AWS. - Optimizes data pipeline architecture for greater scalability; integrates large, complex data sets to meet business requirements. - Works with stakeholders Agency-wide to address tech issues, supports data-related IT infrastructure needs, streamlines and updates business logic and processes. - Identifies, designs, builds and implements internal process improvements; automates manual processes; optimizes data delivery, ensures data integrity; designs and builds analytics tools using data pipeline, to provide insights into customer acquisition, operational efficiency, and other KPIs. This position is fully remote; may work from anywhere in the U.S. Annual salary is $128,750. Qualifications Education: Master’s in Computer Science, MIS, Electronics Engineering or related field. Experience: Requires 2 years’ experience with: cloud database engineering, replication, integration, manipulation and transformation; managing Role Based Access Control and proficiency writing complex SQL queries; AWS Cloud Services, data pipeline and workflow management tools, data modeling for Change Data Capture and Slowly Changing Dimensions, including logical, conceptual and physical modeling of data warehouse projects; version controlling GitHub, & healthcare datasets, e.g. Members, Claims and Risk Adjustment. Compensation: $128,750- $128,750 DNI-LI Pay Range USD $128,750.00 - USD $128,750.00 /Yr. About Us VNS Health is one of the nation’s largest nonprofit home and community-based health care organizations. Innovating in health care for more than 130 years, our commitment to health and well-being is what drives us — we help people live, age and heal where they feel most comfortable, in their own homes, connected to their family and community. On any given day, more than 10,000 VNS Health team members deliver compassionate care, unparalleled expertise and 24/7 solutions and resources to the more than 43,000 “neighbors” who look to us for care. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of the communities and people we serve in New York and beyond.

• Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team • Instrumenting systems for performance and enhancement throughout • Ensuring data offerings to various internal & external stakeholders using secure authentication patterns • Choosing and implementing appropriate technologies for scaling data access patterns, batch processing, and data streaming • Coaching & mentoring other engineers to support technical expertise growth

• Design and develop data pipelines: create robust, scalable data pipelines using Databricks, Apache Spark, and SQL to transform and process large datasets efficiently. • Performance optimization: monitor and optimize the performance of existing data pipelines and workflows to ensure high throughput and low latency. • Collaboration with stakeholders: work closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical specifications. • Data quality and governance: implement data quality checks and governance practices to ensure data consistency, accuracy, and compliance. • Documentation and best practices: maintain comprehensive documentation for data pipelines and processes, and contribute to the establishment of best practices within the team.

About the Team/Role We are looking for a highly motivated and high potential Senior Engineer to join our Risk Engineering Data Team to make significant business impacts and grow your career. This is a really exciting time to be in the Risk Engineering Data Team at WEX. Wex has sophisticated business and products empowering a wide variety of customer businesses. Data generated from these production systems, applications, and platforms are rich and complex. As one of the most valuable assets of Wex, the data provides huge potential values for our customers and business. It’s the data team’s responsibility to build big data technology, platforms, systems, and tools to clean, process, enrich, and optimize the core company data, and make them easy and efficient to use to enable Wex customers and internal teams to generate customer and business value. We develop and leverage advanced technologies from the industry to ensure our efficiency and effectiveness, including modern big data technologies and AI technologies. We use agile development with the combined engineering approach and the product operating model. We have challenging problems with huge business impact potentials for you to lead, work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, coach you. If you dream to be a strong engineer who can solve tough problems, lead, generate big impacts, and grow fast, this is a great opportunity for you! How you’ll make an impact: - Collaborate with partners and stakeholders to learn about our customers’ business needs and key challenges. - Design, code, test, deploy, and monitor sophisticated processes in a cloud based architecture - Effectively develop and maintain CI/CD automation using tools such as GitHub Actions, Jenkins, Azure DevOps, etc. - Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure. - Perform software development with TDD and BDD, Microservice and event oriented architectures. - Analyze data, existing systems and processes independently to effectively identify bottlenecks and opportunities for improvements. - Mentor and learn from your peers, foster continuous learning of new technology within your team and organization. - Help in interviews and provide quality and timely feedback. - Strong at our team’s process and best practices, and apply them to given tasks with help from peers and your manager. Proactively understand customer/business problems you try to solve with these tasks, and your design and implementation can actually solve these problems in an effective, reliable, and sustainable way. - Partner with, assist, or lead team members in development and problem solving. - Take strong ownership/accountability, be proactive, and lead. - Lead a scrum team with proper agile development practices, and ensure the high quality and timely development and delivery that solve target problems effectively. - Own medium to large complex components or systems/products/platforms. - Participate and lead technical discussions. - Design and build high quality and efficient systems with craftsmanship. - Independently & productively complete work at medium/large complexity level and proactively seek reviews from senior engineers on your work to ensure high quality - Proactively identify and communicate dependencies. - Proactively review work from peers and provide constructive feedback/comments. - Build reliable, secure, high quality, efficient, and easy to use big data platforms and tools at scale for supporting all kinds of data transferring, ingestion, processing, serving, delivery, consumption, and data governance needs. - Build systems, platforms, data pipelines, and tools for E-2-E data life cycle, including data ingestion, cleaning, processing, enrichment, optimization, and serving by leveraging the Data platform. It’s our responsibility to deliver high quality, rich, easy to understand & use data for external and internal purposes. For these, you will build data quality measurement & monitoring techniques and systems, metadata and data catalog, Master Data Management, etc. - Become a subject matter expert in your functional area and best practices. - Assess unique circumstances and apply creative problem-solving techniques to resolve issues or suggest various approaches. - Use data and/or AI technology or tools in solutions you design/develop for more effective business outcomes and better customer experience as well as in your design & and development work for high productivity and better solution quality. - Analyze data to deeply understand risk problems and build effective solutions. - Eager and good at learning and exploring new technology and innovative approach to improve effectiveness and productivity. Bring the learnings to the team to lead team’s grow together. Experience you’ll bring - Bachelor's degree in Computer Science, Software Engineering, or related field. OR demonstrable equivalent deep understanding, experience, and capability. 4+ years of experience in software engineering at a large scale. - Master or PhD degree in Computer Science (or related field) and 2+ years of experience in software engineering. - Strong problem-solving skills, excellent communication and collaboration skills. - Highly self motivated and eager to learn. Continuous growth and upskilling mindset. Always learning. Always growing. - Rich experience in designing a high quality, performant, and efficient solution for a medium/large complex level problem. - Rich experience and good understanding of CI/CD automation. - Experienced in combined engineering practices and agile development. - Rich experience and strong implementation skills using languages like Java, C#, or Golang including coding, automated testing, measurement and monitoring. Experienced in TDD approach. - Good understanding of data processing techniques, such as data pipeline/platform development, SQL, as well as relational, NoSQL, and data warehousing technologies. - Experienced in cloud technology, such as AWS, Azure, GCP as well as deployment topologies to ensure high availability and low latency processing - Passionate about understanding and solving customer/business problems. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $121,500.00 - $145,500.00