Responsible for developing Sutter Health’s research analytic data infrastructure
This includes all aspects of how data is ingested, stored, collected, governed, cleansed, accessed, and used
Ensures that the data used by the organization is of the highest quality and is made available as soon as possible in a format that allows the business (researchers) to make critical decisions based on the data
Utilizes tools and infrastructure such as scalable data pipelines to manage high volume and high-speed data storage and retrieval
Works with all types of data including batch and streaming data, structured, semi-structured and unstructured data
Creates and improves processes required by other data-dependent functions including analytics, strategic business intelligence, and data science
Develops and tests new architectures that enable data extraction, automation, and modeling for predictive or prescriptive analytic purposes
Sets the standard for high-value high quality datasets that are accurate, timely, secure and well-suited to strategic analytic purposes for research organization
Works on IRB approved research studies providing accurate and timely curated data
Works closely with Principal investigators and statisticians
Works in accordance with Research Privacy and HIPAA regulations and methods for safeguarding PHI and PII
This position is part of a new, exciting strategic initiative within Sutter Health Research

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Management, or Healthcare Administration
8 years recent relevant experience
Experience creating data pipelines on big data platforms and data integrations in databases and data lakes
Experience leveraging scalable data platforms to build secure infrastructure
Experience building batch or streaming data ingestion pipelines
Ability to assess and profile raw data and reassemble raw data from multiple sources into a single, enterprise model
Hands on experience with data management tools (Cloudera, Spark, Python, Databricks, etc.)
Fluency with SQL programming, scripting, and data architecture
Extensive familiarity with relational database concepts / technologies (SQL, Oracle, etc.) including data design, table design, partitioning
Experience ensuring data quality and implementing tools and frameworks for automating identification of data quality issues
Strong understanding of data engineering and data traceability best practices and framework
Ability to work in a consulting role, building technology and communicating with end-users and customers of varying levels of technical capability
Strong knowledge in the development of Business Intelligence and Reporting solutions
Strong problem solving, organization, and prioritization skills
Detail-oriented, producing timely results and ability to work both independently with minimal supervision and as a member of a scrum/product team
Familiar with healthcare provider data structures and sources; experienced with HIPAA regulations and methods for safeguarding PHI and PII through mitigation of data exposure risk.

Benefits

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Hard Skills & Tools

data pipelinesbig data platformsdata integrationsdata lakesdata managementSQL programmingdata architecturedata qualitydata engineeringBusiness Intelligence

Soft Skills

problem solvingorganizationprioritizationdetail-orientedindependent workteam collaborationcommunicationconsulting