Data Engineer - Chicago, United States - Waltzhealth

    Waltzhealth
    Waltzhealth Chicago, United States

    2 weeks ago

    Default job background
    Description
    We are on the hunt for a passionate Data Engineer to join our dynamic team.

    This role is perfect for those who possess an innate curiosity and a relentless drive to learn, offering a unique opportunity to contribute significantly to the healthcare sector within a vibrant startup culture.

    As our Data Engineer, you will play a vital role in:

    Designing and Managing Data Pipelines:


    Develop and maintain efficient data ingestion processes across various sources (Snowflake, PostgreSQL, Elastic Search), ensuring seamless data flow and availability.

    Cross-functional Collaboration:

    Work closely with our technology and business teams to crystallize requirements, contributing to a continuous development roadmap.


    Advanced Support:
    Offer L3/L4 support, addressing and resolving escalated user issues.


    Data Transformation:
    Utilize DBT for crafting transformation logic, preparing data for consumption by business teams, front-end developers, and APIs.


    Process Optimization:
    Elevate our organizational efficiency by automating manual operations, enhancing monitoring, and refining alerting mechanisms.

    In

    the first 90 days, you will have:

    Platform Mastery :
    Acquaint yourself thoroughly with the Waltz technology ecosystem.

    Industry Insight :
    Gain deep insights into the Pharmacy industry and how Waltz's offerings stand out.


    Infrastructure Excellence:
    Design and implement a resilient data infrastructure and reporting solutions.

    You will be successful because you have these skills and traits:

    T


    echnical Proficiency:
    Experience in building scalable data pipelines with Azure Data Factory, emphasizing data quality and direct usability.

    Expertise in data modeling with DBT or Postgres stored procedures.

    Expertise with serverless applications using Azure Functions, and coding in Python for data processing and automation.


    Database Management:
    Competency in managing PostgreSQL and Snowflake databases, focusing on data integrity, performance, and security.


    Collaborative Spirit:
    Ability to work closely with cross-functional teams, understanding their data needs and crafting enabling solutions.


    System Optimization:
    Skills in monitoring, diagnosing, and enhancing data systems for better reliability and efficiency.


    Effective Communication:
    Clarity in conveying complex technical ideas to varied organizational levels, thriving in both independent and team settings.

    Adaptability :

    Agile in responding to the evolving needs of a growing company, with a knack for problem-solving, critical thinking, and creative innovation.


    You have these qualifications:

    Educational Background :
    A Bachelor's or master's degree in computer science, Engineering, or a related discipline.

    Experience :

    At least 2 years in a Data Engineering capacity, with a solid foundation in cloud-based data solutions, primarily within Azure environments.


    Technical Skills :

    Proficiency in Azure Data Factory, Azure Functions, Python programming, DBT for data modeling, and familiarity with PostgreSQL and Snowflake databases.


    Preferred Qualifications :
    Exposure to Microsoft Azure and experience with Elastic Search are advantageous.

    #J-18808-Ljbffr