Senior Data Engineer
The RealReal
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $147,534 - $163,927 per year
Job Level
Tech Stack
About the role
- Design, develop, and maintain scalable, high-performance data infrastructure
- Build reliable, reusable services and APIs for data platform interaction
- Build software tools for monitoring and managing ML infrastructure
- Collaborate with senior management and other engineers in the development of data products
- Develop tools to monitor, debug, and analyze data and ML pipelines
- Design and implement data schemas and models that can scale
- Mentor team members to build overall expertise
Requirements
- At least 5 years of proven experience as a Data Engineer or MLOps Engineer
- Strong programming skills in languages such as Python, Java or Scala
- Experience with cloud platforms (GCP, AWS, AZURE)
- Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases)
- Hands-on experience with ML frameworks (TensorFlow, PyTorch)
- Practical experience with containerization and orchestration tools (Docker, Kubernetes)
- Experience with feature stores and feature engineering best practices
- Experience building data pipelines & ETL
- Excellent communication and collaboration skills
Benefits
- Employee Stock Purchase Plan
- 401K with Company Match
- Medical, Dental & Vision Insurance
- Paid Parental Leave
- 9 Paid Company Holidays
- Flexible Time Off (With Manager Approval)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaScalaGCPAWSAzureBigQueryRedshiftSnowflakeTensorFlowPyTorchDockerKubernetesETL
Soft Skills
communicationcollaborationmentoring