Data Engineer II, Core Data
New York City
Vimeo, Inc.
Everything you need to make, manage, and share brilliant videos for marketing, employee communications, virtual events, and creative production.Vimeo is searching for an experienced Python and SQL software engineer for its Core Data Engineering team. This is a chance to create and maintain a robust, scalable, and balanced enterprise data platform with other members of the Core Data Engineering team. The ideal candidate will enjoy working on a variety of projects at once, with lots of different software services and data sources, all orchestrated with Python code.
Our platform has robust analytics tools that can tell video creators where people are from, where they click, and even track where in a video someone stopped watching—giving you insight into creating engaging content in the future.
While working as a peer to both technical and non-technical staff throughout the company, you will drive the improvement process of both our products and our business operations. You will help define data access and discoverability requirements and work to build infrastructure and services that provide access to event streams.
What you'll do:
- Ensure consistency to coding best practices and development of reusable code
- Monitor data platform and make recommendations to improve system architecture
- Work closely with other data engineers, analysts, and business partners to understand and plan technical requirements for projects
- Provide decision analysis and decision support to business partners using BI and other data
- Learn quickly and deeply about Vimeo’s software platform, desktop, and mobile applications
- Contribute software designs, code, tooling, testing, and operational support to a multi-terabyte BI data platform
- Collaborative work: iterative development, design, and code review sessions
- Independent work: author and maintain tools for other developers
Skills and knowledge you should possess:
- 3+ years of engineering experience in a fast-paced environment; 2+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
- Deep understanding of distributed data processing architecture and tools such as Kafka and Spark
- Solid understanding of design patterns and coding best practices
- Experience with and understanding of data modeling concepts, techniques and best practices
- Experience with Airflow, Celery, or other Python-based task processing systems
- Proficiency in SQL
- Proficiency in Python
- Proficiency with modern source control systems, especially Git
- Experience working with non-technical business stakeholders on technical projects
Bonus Points (Nice Skills to Have, but Not Needed):
-
- Cloud-based DevOps: AWS or Google Cloud Platform
- Relational database design
- Snowflake, or other distributed columnar-store databases
- Basic Linux/Unix system administration skills
#LI-HS1
Vimeo (NASDAQ: VMEO) is the world’s leading all-in-one video software solution. Our platform enables any professional, team, and organization to unlock the power of video to create, collaborate and communicate. We proudly serve our growing community of over 260 million users — from creatives to entrepreneurs to the world’s largest companies.
Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We’re proud to be an equal opportunity employer where diversity, equity, and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.
Learn more at www.vimeo.com
Learn more at www.vimeo.com/jobs
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS DevOps Engineering ETL GCP Git Google Cloud Kafka Linux Python Snowflake Spark SQL Testing
Perks/benefits: Salary bonus
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