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Senior Data Engineer

NxT Level

Senior Data Engineer

Chicago, IL
Full Time
Paid
  • Responsibilities

    NEW YORK, NY OR REMOTE

    About Our Client:

    Our Client's mission is to enable simple and secure access to actionable healthcare data. Our client is shaping the new standard for healthcare data exchange with a user-friendly API platform. We create intuitive experiences for developers, build scalable infrastructure product teams love, and collaborate with innovative leaders launching data driven healthcare solutions.

    About the Role:

    As a Data Engineer, you will be joining a small team responsible for the data systems that power everything from operational efficiency of the business, to personalized product experiences, to cutting-edge clinical data research and organizational analytics. You will be responsible for the end-to-end implementation of the data stack from collection to reporting, with a focus on infrastructure and technical processes. You will be directly responsible for working with stakeholders around the business to ensure their data needs are met, define data strategies, implement data systems, and help infuse data into transformational experiences. In general, you will be responsible for understanding problems intimately, crafting a technical strategy to address problems, and facilitating high-quality technical execution.

    Responsibilities:

    • Data Unifier: Architect, assemble, assimilate, clean, and conform large, complex datasets to deliver business insights and power product experiences

    • Data Advocate: Weave data into decision-making and drive cross-functional data-oriented approaches and solutions

    • Data Protector: Design and build reliable, scalable data infrastructure with leading privacy and security techniques to safeguard data

    • Data Builder: Own the end-to-end data stack including event collection, data governance, data integrations, and modeling

    • Data Custodian: Ensure consistency and quality through metrics, documentation, processes, data testing, and training

    If you have some or all of the following please apply:

    • 5-10+ years relevant experience, at least part of which in a startup environment

    • Experience with analytic databases (e.g. Snowflake)

    • Advanced knowledge of SQL and experience with relational databases

    • Hands-on experience developing data pipelines. (e.g. dbt, Airflow, Stitch Data/Singer specs)

    • Hands-on experience with event streams and stream processing (e.g. Kafka, Spark, Data Bricks, Segment)

    • Decoupling transactional or source systems from business intelligence reporting (e.g. dimensional modeling)

    • Experience with creating high-quality, fast services and projects in Python

    • Experience with modern business intelligence and product reporting tools (e.g. Looker, Periscope)