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Senior Data Engineer

Denver, CO, United States

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.

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