Sr. Data Engineer

April 27

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Fable

The modern way to discover, read, and discuss great books together with friends. Now in the App Store & Google Play.

books • literature • book clubs • wellness • good habits

11 - 50

Description

• Develop data models and pipelines to enable reporting, modeling and machine learning • Develop a content knowledge graph, combining multiple data sources • Ensure data quality, perform data audits • Improve performance of data/analytics infrastructure • Leverage Google Cloud tools and services to bring data workloads to production • Collaborate with backend engineering and data teams • Be an advocate of data-driven thinking and communicate data and metrics to the entire company

Requirements

• Ability to work with business and product leaders, identify areas of opportunity, and influence decisions • Experience working in a cloud environment (GCP, AWS, Azure) • Experience with Airflow, PySpark or similar tools • Experience with helping organize disparate data needs and workflows into a consistent, reliable system • Curiosity to understand business needs and translate them to data solutions • Experience in data modeling and creating data pipelines

Benefits

• Annual Base Pay for this role: $120k - $160k (dependent on location and commensurate with experience) • Competitive stock options • Comprehensive health and dental plans • Flexible vacation days • Self contributing 401k • Open and transparent culture • Parental leave (we believe in life integration not just work-life balance) • Work from anywhere, any time

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