About the position
The Data Engineer 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 strategies, implementing advanced technologies in clinical and administrative areas, and furthering development of the end user support model to help enhance modern infrastructure.
Responsibilities
- Deliver data warehouse and analytic solutions by ingesting, integrating, and curating data.
- Build analytical solutions and administer systems to deliver information to the health system.
- Serve as a functional and content expert of the data warehouse to synthesize raw data into actionable information.
- Apply knowledge of relational database skills including advanced SQL knowledge and the ability to create complex queries and stored procedures.
- Collaborate with the Architecture team in the design and execution of solutions.
- Ensure that new and existing data models and databases are consistent with approved data architecture standards.
- Provide facilitation, analysis, design, and execution of architecture solutions.
- 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.
- Maintain knowledge of current trends and development in the field and actively explore emerging technologies.
- Independently work with business users to gather and scope requirements and recommend analytical solutions.
- Assist with ETL design and development including data analysis, source-target mapping, quality profiling, and change data capture.
- Evaluate data quality and interpret results in a clear, concise manner.
- Document all programming changes and design, system modifications and their associated maintenance.
- Own analytics projects and be accountable for collaborating with the business to gather requirements.
- Work collaboratively with and support multi-department 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.
Requirements
- Bachelor’s degree or four additional years of experience.
- Five or more years of experience in a role querying, analyzing data, and/or data modeling/architecture.
- Experience working with a variety of data warehousing models and design fundamentals (e.g., Inmon, Kimball).
- Experience with developing and maintaining ETL / data pipeline (e.g., Microsoft SSIS, Azure Data Factory).
- Experience with OLAP or Tabular cube software.
- Experience using SQL for data extraction, manipulation, and reporting.
- Previous experience working in an Agile environment.
- Strong knowledge of relational database skills including advanced SQL knowledge and the ability to create complex queries and stored procedures.
- Experience with report writing and data visualization tools such as: Microsoft Power BI, Tableau, Crystal Reports, SSRS, etc.
Nice-to-haves
- Experience developing, designing and supporting applications and relational databases.
- Experience using a software package for statistical analysis (R, Python, etc).
- Previous experience working with Epic Clarity data.
- Previous healthcare experience, ideally with a health system.
Benefits
- Tuition reimbursement
- Loan forgiveness
- 401(k) matching
- Lifecycle benefits
