Staff Data Engineer

San Francisco, CA

Applications have closed

As a Staff Data Engineer at The RealReal you'll lead automation, personalization, and data pipeline initiatives. You will be on a small, high impact team who both decides on the best architectural decisions and implements them. We are in the process of moving our ETL job from batch to streaming/event based and need thought leaders to help support the future of large realtime pipelines. These pipelines will make a big impact for the business through analytical insights, building machine learning products, and supporting realtime personalization through our website. You will own critical systems throughout the platform and be responsible for their development, adding new, valuable features, and ensuring that these systems perform correctly.

**  This position can be remote anywhere in the U.S. or located in our SF HQ **

What You Get To Do Every Day

  • Collaborate with senior management, product management, and other engineers in the development of data products
  • Develop reliable, near real time and batch data pipelines that make data easily consumable by end users and other systems
  • Develop tools to monitor, debug, and analyze data pipelines
  • Design and implement data schemas and models that can scale
  • Mentor team members to build the company’s overall expertise
  • Work to make The RealReal an innovator in the space by bringing passion and new ideas to work every day

What You Bring To The Role

  • 5-8+ years of relevant experience 
  • Ability to communicate effectively with stakeholders to define requirements
  • Strong experience with data streaming such as Apache Kafka, GCP Dataflow, AWS kinesis, Spark Streaming, or similar tools
  • Strong knowledge of python and SQL
  • Strong experience with cloud platforms (GCP, AWS, AZURE) with strong preference to GCP.
  • Strong experience with BigQuery or similar (Redshift, Snowflake, other MPP databases) 
  • Strong experience with command line & version control software (git)

Nice to Haves

  • E-commerce and/or Startup experience
  • Experience with Airflow
  • Strong Experience with BI tools & ETL tools

Want to learn more about our team at The RealReal? Check out our Technology & Product Blog!

 

GHR5689 #LI-PP10 #LI-Hybrid

 

The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with more than 20 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off and direct shipping. We do all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as handling shipping and customer service. At our 13 retail locations, including our eight shoppable stores, customers can sell, meet with our experts and receive free valuations.

The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 

Tags: Airflow AWS Azure BigQuery Dataflow Data pipelines E-commerce ETL GCP Git Kafka Kinesis Machine Learning MPP Pipelines Python Redshift Snowflake Spark SQL Streaming

Perks/benefits: Startup environment

Region: North America
Country: United States
Job stats:  2  0  0

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