Senior Data Engineer at Fairygodboss
New York City, NY, US

We are currently rebuilding our platform and looking to bring on an experienced data engineer to:

Develop personalization and recommendation engines used to tailor unique experiences and results on a user-by-user basis for each of our various projects.

Build out and support our Real-time and Batch processing pipelines.

Configure and monitor our event logs and analytical data stores.

Configure and maintain our BI tools and reporting libraries.

Qualifications

The ideal candidate should have experience with real-time user data processing and storage. The candidate will also have experience working with stakeholders to identify important metrics that can then be incorporated into our APIs for both internal and external use.

Required:

5+ years of Software Engineering experience

3+ years experience work with real-time/streaming data

Experience with a RDBMS (e.g. MySQL, PostgreSQL)

Experience with real time data streaming tools (e.g. Apache Kafka, AWS Kinesis)

Experience working with an OLAP or Time Series Databases (e.g. Druid)

Experience with a data processing solution. (e.g. AWS Athena, Apache Spark)

Nice To Have:

Knowledge of JavaScript & Node.js

Experience building APIs

Experience building personalization or recommendation engines

Experience with Machine Learning/Data Science

Other Tools We Use:

AWS

Docker & Container Orchestration Tools

Druid & Kinesis

Compensation:

Highly competitive and commensurate with experience.

Company Description:

Fairygodboss is the largest career community for women*. Our mission is to help the women in our community by providing free resources and a safe, inclusive environment for highly motivated women to connect with other career-minded individuals and help one another to succeed. Millions of women visit Fairygodboss for career connections, jobs, community advice, virtual events and hard-to-find intel about how companies treat women.

Our customers include over 150 Fortune 1000 companies including: Apple, Microsoft, Goldman Sachs, Bank of America and IBM.

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