Responsibilities:

    • Build and maintain internal trust in our key datasets
    • Monitor data pipeline health and address impairments and outages
    • Level up our data capabilities
    • Work with stakeholders across the business to answer their data needs
    • Understand the reasoning behind key product and design decisions and contribute good solutions to implementation and architecture discussions
    • Educate Engineering, Product, and the rest of our division on relevant data best practices
    • Lead key initiatives to improve our product and team life
    • Writing code!* White-boarding the benefits and disadvantages of various approaches to an architecture decision
    • Testing initial prototypes with the engineering and product team to solicit feedback and iterate on the next version
    • Reviewing your code, architecture, and style decisions with other engineers

Qualifications:

    • 5+ years of experience in a data engineering, analytics, or machine learning role
    • BS in Computer Science or similar field
    • A broad background in modern data best practices
    • Ability and willingness to make strategic decisions that impact the business for years
    • Experience with ETL/ELT using Spark or similar tools.
    • Experience with cloud data warehouses like AWS Redshift, Snowflake, BigQuery and Azure Synapse Analytics (formerly SQL DW).
    • Experience with BI tools like Qlik, Sisense, Looker, Birst and Power BI
    • Strong analytical SQL skills.
    • Programming experience with Ruby, Python or equivalent.
    • Experience building solutions using REST web services.
    • Excellent communication skills.
    • Experience with agile development processes.


Click here to apply online
Job Type
Full-Time Regular
Work Location
Hybrid
Location
Denver CO