Data Engineer

Data Engineer

This job is no longer open
Teachable is seeking a Data Engineer to join the Data Team. We're a growing team of people who like to get a lot done with minimal overhead. We collaborate on roadmap, design, and architecture, and are driven by a mission to empower creators to transform their knowledge into income. Reporting to the Head of Data, this role will work on our event pipeline, ETL platform, database, and data lake queries and optimization and will deploy containerized applications. 

Teachable’s Data Team is primarily a python shop. We use Apache Airflow for ETL, a rest endpoint, and kafka for collecting events, and we deploy in kubernetes. The data warehouse is Amazon Redshift with federated postgres tables, and we have plenty of data in s3 in a variety of formats. This role has a major impact on the entire organization, as the data engineer is the primary owner of key pieces of infrastructure and is expected to make recommendations about what technologies we should be employing in the data platform and what patterns we should be following in data engineering.

We are looking for someone:

    • With 1-3+ years of professional experience in data engineering or backend software engineering
    • Who knows python and SQL and uses them to perform ETL/ELT
    • Who has experience using a large-scale relational data warehouse (Redshift, Snowflake, BigQuery, etc)
    • Who cares about code quality and strives to balance efficiency with readability and to help teammates achieve the same
    • Who upholds Teachable values, including working as part of a diverse team
    • Experience with messaging (kafka, rabbitMQ) or building RESTful APIs s a plus

What you will be doing:

    • Maintaining and improving event collection, queueing, and processing
    • Assisting the next phase of data lake development
    • Maintaining and improving the ETL platform
    • Improving data warehouse performance by building out federated data sources
    • Responding to issues and alerts as they arise

What you might work on:

    • Supporting customer-facing reporting
    • Converting event processing from batch to stream
    • Operationalizing ML models

Teachable is an instructor-focused platform that empowers creators to build and sell online courses and coaching on any topic-from iOS development to watercolor painting to card tricks. Instructors using our platform have collectively earned more than a billion dollars to date.

Since our founding, we've raised more than $12.5 million from top venture investors and were acquired in March of 2020. Teachable is now part of Hotmart Company, a global tech group focused on the Creator Economy, with over 1,300 employees in 8 countries (Netherlands, USA, Brazil, Spain, Mexico, Colombia, France and UK). Hotmart´s mission is to help creators make a living from their passions, using digital products to entertain, help and instruct their audiences.

Teachable is continuing to build a diverse team of top-notch talent. We won't hold you back from reaching your full potential at Teachable; you'll have the freedom to be an integral member of our tight-knit team, with great benefits and perks. Your work here will directly impact hundreds of thousands of online educators, entrepreneurs, and creatives.

Teachable operates under a hybrid work model, meaning we give our employees the flexibility to work from home or from one of our offices at their leisure.

Benefits:
Comprehensive Health, Dental, & Vision benefits with options covering up to 100% of monthly premium
Generous Vacation, Personal, and Sick Time
Parental leave, 16 weeks fully paid after three months of service
4% 401(k) with match after three months of service
Supplemental student loan repayment assistance or a professional education stipend
Tax-free commuter benefit
Conference budget
50% gym & wellness match
Headspace subscription
$250 Donation Match Program

Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.

This job is no longer open
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