32 applicants

Company

Northwestern Memorial Hospital · 3 hours ago

Senior Data Engineer, Enterprise Data, Full-time, Days

Chicago, IL

Full-time

Remote

Senior Level

7+ years exp

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Responsibilities

The Senior Data Engineer 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.

Serves as a functional and content expert of the data warehouse to synthesize raw data into actionable information to be used in analytical solutions.

Applies knowledge of relational database skills including advanced SQL knowledge and the ability to create complex 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.

Provide facilitation, analysis, design, and execution of architecture solutions and ensure solutions are leveraged. 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.

Maintain knowledge of current trends and development in the field. Actively explores emerging technologies.

Independently work with business users to gather and scope requirements and recommend analytical solutions to meet business needs.

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.

Own projects and be accountable for collaborating with the business to gather requirements, execute to provide solutions, which exceed customer expectations.

Work collaboratively with and support multi-departments efforts and projects.

Mentor staff by sharing skills, experience, knowledge, and expertise on analytic tools and solutions.

Serve as subject matter expert within the department.

Provide training and support through the organization on the use of analytics tools. Performs other duties and functions as assigned.

Qualification

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Data modelingETL developmentSQLData architecture designAnalytical solutionsData pipeline toolsUnified Modeling LanguageCC++JAVANETC#Microsoft SSISAzure Data FactoryDatabricksCernerEpicPeoplesoftKronosMicrosoftAIXVMWareSANExchangeRPythonHealthcare experienceMatrixed organization experience

Required

Bachelor’s degree or equivalent experience in relevant field.

7+ years of experience in a role querying, analyzing data, and/or data modeling/architecture.

4+ years in enterprise, application, technical, or information architecture design.

4+ years with developing and maintaining ETL / data pipeline (e.g., Microsoft SSIS, Azure Data Factory, Databricks).

Demonstrate strong technical knowledge of application delivery methods and familiarity with how portfolios of systems work together to create enterprise solutions.

Demonstrated results managing/ influencing/ member of virtual teams and serving as role model/ mentor.

Must have demonstrated knowledge on a domain specific area (i.e., coding languages such as C, C++, JAVA, .NET, C# etc.; networking; Applications such as Cerner, Epic, Peoplesoft, Kronos; Technology such as Microsoft, AIX, VMWare, SAN, Exchange; data).

Experience working in a matrixed organization.

The Sr. Data Engineer needs to have expertise in design methodologies and business functions.

Need to have working knowledge of Unified Modeling Language (UML) or other architecture modeling notations.

Ability to work effectively in a team environment.