The Data Engineer Associate, reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:Leveraging AI, automation and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurthering development of the end user support model to help enhance modern infrastructureResponsibilities:The Data Engineer Associate is responsible for delivering data warehouse and analytic solutions by ingesting, integrating, and curating data, building analytical solutions, and administering systems to deliver information to the health system.Applies knowledge of relational database skills including SQL knowledge and ability to create queries and stored procedures.Collaborates with the Architecture team in the design and execution of solutions.Ensures that new and existing data models and databases are consistent with approved data architecture standards.Create, document, and communicate the integration approach of all the components of the solution.Define key solutions and ensure they are managed for consumption by users and across teams.Research, analyze, determine capabilities and propose solution alternatives to address specific business needs and product/service strategies.Assists with ETL design and development including data analysis, source-target mapping, quality profiling, change data capture, code performance.Evaluate data quality and interpret results in a clear, concise manner.Document all programming changes and design, system modifications and their associated maintenance.
