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Sinai Health System DATA ENGINEER in Chicago, Illinois

Job Overview

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer:

  • Create and maintain optimal data pipeline architecture,

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

  • Work with data and analytics experts to strive for greater functionality in our data systems.

    Qualifications for Data Engineer:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Strong analytic skills related to working with unstructured datasets.

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

  • Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data stores.

  • Strong project management and organizational skills.

  • Experience supporting and working with cross-functional teams in a dynamic environment.

    Knowledge, Skills, Abilities, and other Characteristics:

    Qualifications:

    • 5+ years of experience in a Data Engineer role, who has attained a Master’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

    • Industry-recognized certifications in data engineering, data architecture, informatics, machine learning, SQL

    • Experience with health care data, claim data, EMR systems (Meditech preferred), X.12 data formats, etc.

    • Experience with big data tools: Hadoop, Spark, Kafka, etc. (Preferred)

    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

    • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

    • Experience with Microsoft and AWS cloud services: Azure, EC2, EMR, RDS, Redshift

    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

    • Experience with statistical programming languages: R, Stata, SAS, etc.

    • Experience with architectural concepts and schemas: TOGAF, MITA, Star schema, etc. Skilled in problem-solving with strong attention to detail.

    • Excellent customer service skills and the ability to react diplomatically and patiently to internal and external customers.

    • Excellent follow-up skills paired with the ability to multi-task and determine root causes.

    • Strong written and verbal communication skills coupled with the ability to read, analyze and interpret technical procedures.

    • Strong response time to phone calls, emails and customer requests.

    • Adhere to department policies and standards.

    • Ability to work independently under minimal supervision in stressful situations and meet deadlines.

    • Ability to prioritize, plan, and organize tasks based upon user requirements.

    • Ability to multi-manage multiple projects utilizing best practices based on departmental priorities.

    • Ability to multi-manage multiple projects utilizing best practices based on departmental priorities.

    MINIMUM WORK EXPERIENCE:

    Bachelors Degree, 5 years of relevant experience including leading projects or 8 years of relevant experience including leading projects and developing teams .

    REQUIRED LICENSES, CERTIFICATES, REGISTRATIONS:

    MCSE or equivalent is strongly desired but not required

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