About The RoleWe are seeking a highly motivated and experienced Data Engineer with MLOps experience to join our Data Engineering team. In this role, you will be at the forefront of designing and developing scalable, robust data architectures and MLOps solutions utilizing the latest technologies from Google Cloud Platform (GCP) and AWS. You will collaborate closely with cross-functional teams to understand their data needs and will focus on building, optimizing and scaling data platform solutions that drive insights for marketing strategies, personalization efforts and operational efficiencies. As a senior member of the team, you will work closely with data scientists, machine learning engineers, data analysts and cross-functional teams, playing a critical role in shaping the company's data architecture.
*States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY
What You Get To Do Every Day
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Design, develop, and maintain scalable, high-performance data infrastructure to support the collection, storage, and processing of large datasets in real time and batch modes.
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Build reliable, reusable services and APIs that allow teams to interact with the data platform for ingestion, transformation, and querying of data.
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Build software tools, products and systems to monitor and manage the ML infrastructure and services efficiently.
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Responsible for ensuring our ML systems are operating and running efficiently for model development, training, evaluation, and inference.
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Collaborate with senior management, product management, and other engineers in the development of data products.
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Develop tools to monitor, debug, and analyze data and ML pipelines.
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Design and implement data schemas and models that can scale.
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Mentor team members to build the company’s overall expertise.
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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
Minimum Requirements:
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At least 5 years of proven experience as a Data Engineer or MLOps Engineer in developing platform level capabilities for data-driven corporations.
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Strong programming skills in languages such as Python, Java or Scala, with experience building large-scale, fault-tolerant systems.
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Experience with cloud platforms (GCP, AWS, AZURE) with strong preference to GCP.
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Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases).
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Hands-on experience with ML frameworks (TensorFlow, PyTorch) and ML deployment patterns.
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Practical experience with containerization and orchestration tools (Docker, Kubernetes).
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Experience with feature stores and feature engineering best practices.
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Experience building data pipelines & ETL.
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Experience with command line, version control software (git).
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Excellent communication and collaboration skills.
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Ability to work independently and quickly become productive after joining.
Preferred Requirements:
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Knowledge of distributed data processing frameworks such as Apache Kafka, Flink, Spark, or similar.
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Experience with DBT (Data Build Tool) and Looker.
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Knowledge of common ML deployment patterns.
Compensation, Benefits, + Perks
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Employee Stock Purchase Plan
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401K with Company Match
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Medical, Dental & Vision Insurance
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Paid Parental Leave
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Unlimited Discretionary Time Off (DTO)* and 9 Paid Company Holidays
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* Unlimited DTO with Manager approval
The expected salary range for this role is $147,534.00-$163,927.00. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. Additionally, salary is just one component of TRR’s total rewards package. Depending on role, employees may also be eligible for a bonus program, incentive pay and benefits.
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with 37 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 handle 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 shipping and customer service.
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. At TRR, People Come First. That’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here.
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.
Top Skills
What We Do
The RealReal is the world’s largest online marketplace for authenticated luxury retail. 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 150+ in-house gemologists, horologists and brand authenticators who inspect thousands of items each day.
Why Work With Us
We are looking for smart and talented people who are creative, enjoy working in a fast-paced environment, and want to be part of a team that is reinventing the digital marketplace as you know it!
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