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Data Engineer
1 month ago
Stamford Health is looking for a Fulltime 37.5 hours a week Data Engineer level II to join the team.
Must Live in the Tri-State area CT, NY, NJ.
The data engineer, which is an emerging role in Stamford Health data and analytics team, will play a pivotal role in operationalizing the most-urgent data and analytics initiatives for Stamford Health digital business initiatives. The bulk of the data engineer's work would be in building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers (like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases).
Data engineers also need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to-solution for Stamford Health data and analytics initiatives. The data engineer will be measured on their ability to integrate analytics and (or) data science results with Stamford Health business processes.
The newly hired data engineer will be the key interface in operationalizing data and analytics on behalf of the various business unit(s) and organizational outcomes. This role will require both creative and collaborative working with IT and the wider business. It will involve evangelizing effective data management practices and promoting better understanding of data and analytics. The data engineer will also be tasked with working with key business stakeholders, IT experts and subject-matter experts to plan and deliver optimal analytics and data science solutions.
Additionally data engineers will also be expected to collaborate with data scientists, data analysts and other data consumers and work on the models and algorithms developed by them in order to optimize them for data quality, security and governance and put them into production leading to potentially large productivity gains.
Responsibilities
- Build data pipelines: Managed data pipelines consist of a series of stages through which data flows (for example, from data sources or endpoints of acquisition to integration to consumption for specific use cases). These data pipelines have to be created, maintained and optimized as workloads move from development to production for specific use cases. Architecting, creating and maintaining data pipelines will be the primary responsibility of the data engineer.
• Drive Automation through effective metadata management: The data engineer will be responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. The data engineer will also need to assist with renovating the data management infrastructure to drive automation in data integration and management.
This will include (but not be limited to):
• Learning and using modern data preparation, integration and AI-enabled metadata management tools and techniques.
• Tracking data consumption patterns.
• Performing intelligent sampling and caching.
• Monitoring schema changes.
• Recommending - or sometimes even automating - existing and future integration flows.
• Collaborate across departments: The newly hired data engineer will need strong collaboration skills in order to work with varied stakeholders within the organization. In particular, the data engineer will work in close relationship with data science teams and with business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
• Educate and train: The data engineer should be curious and knowledgeable about new data initiatives and how to address them. This includes applying their data and/or domain understanding in addressing new data requirements. They will also be responsible for proposing appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques in optimally addressing these data requirements. The data engineer will be required to train counterparts such as data scientists, data analysts, LOB users or any data consumers in these data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
• Participate in ensuring compliance and governance during data use: It will be the responsibility of the data engineer to ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives. Data engineers should work with data governance teams (and information stewards within these teams) and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
• Become a data and analytics evangelist: The data engineer will be considered a blend of data and analytics "evangelist," "data guru" and "fixer." This role will promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.
Qualifications
• A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required.
• An advanced degree in computer science (MS), statistics, applied mathematics (Ph.D.), information science (MIS), data management, information systems, information science (postgraduation diploma or related) or a related quantitative field or equivalent work experience is preferred.
• The ideal candidate will have a combination of IT skills, data governance skills, analytics skills and Health Care knowledge with a technical or computer science degree.
• At least 6 years or more of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• At least 3 years of experience working in cross-functional teams and collaborating with business stakeholders in Health Care in support of a departmental and/or multi-departmental data management and analytics initiative.
• 1 year experience as project technical lead in cross team initiatives.
About Us
About Stamford Health
Stamford Health is a non-profit independent health care system with more than 3,800 employees committed to caring for the community through a wide range of high-quality health and wellness services. Patients and their families receive expert, compassionate care through the system's 305-bed Stamford Hospital; Stamford Health Medical Group, with more than 40 offices in lower Fairfield County offering primary and specialty care; a growing number of ambulatory locations across the region; and support through the Stamford Hospital Foundation.
Stamford Health is known for its expert, person-centered care through its many recognitions and partnerships. U.S. News & World Report has recognized Stamford Hospital as a High-Performing Hospital. The Centers for Medicare and Medicaid Services (CMS) rated Stamford Hospital as a five-star hospital for Overall Quality and The Leapfrog Group awarded Stamford Hospital an "A" for patient safety. The American Nurses Credentialing Center has granted Stamford Hospital Magnet Status, which recognizes superior patient care with the highest level of safety, quality, and patient satisfaction. Stamford Health is Planetree Gold-Certified for Excellence in Person-Centered Care and is a Certified™ Great Place to Work.
Stamford Health is a major teaching affiliate of the Columbia University Vagelos College of Physicians and Surgeons and has recently expanded its relationship with Columbia to offer treatment and expertise from Columbia University Irving Medical Center's nationally recognized heart surgeons. Stamford Health and Hospital for Special Surgery (HSS) have created a premier center for specialty orthopedic care right in Stamford, Connecticut. Additionally, in 2020 Stamford Health's Carl & Dorothy Bennett Cancer Center entered into an expanded collaboration with Dana-Farber Brigham Cancer Center.
Dedicated to being the community's most trusted health care partner, Stamford Health puts patients first to build long-lasting relationships. For more information, visit StamfordHealth.org. Like us on Facebook and follow us on Twitter, Instagram, YouTube, and LinkedIn.
About the Team
Why work for Stamford Health?
Stamford Health offers an extremely competitive salary with generous shift differentials where appropriate.
Our Total Rewards Program is ranked as one of the highest satisfiers based on our employee engagement surveys.
With over 100 transfers and promotions each year for the past 5 years, Stamford Health is a place for you to grow and develop your career. Many departments from Nursing to Information Systems and Rehabilitation have Career Ladder programs that foster career development.
Whether employees choose to live in the greater Stamford, CT area or commute from New York or Fairfield, we offer free convenient parking and free transportation from the Stamford train stations.
Our collaborative with Hospital for Special Surgery, and the Dana Farber Brigham and Women's Cancer Care Collaborative, connect us directly with world class expertise, research, resources and technology to put us at the forefront of patient care.
We have a robust Professional Development and Organization Development program that provides both clinical and non-clinical staff with the opportunity to develop and grow professionally.
For organizational leaders, we offer a comprehensive New Manager Orientation four times per year. Our program designed specifically for Stamford Health will help prepare today's and tomorrow's leaders for success with an innovative curriculum based on best practices. It will also enhance the skills of our leaders that bring their fresh leadership perspective from other organizations.
