160 applicants

Company

Original Job Post

Vimeo · 2 days ago

Sr. Data Engineer - DataOps

United States

Full-time

Remote

Senior Level

$117K/yr - $178K/yr

5+ years exp

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Responsibilities

Design, develop and maintain Vimeo’s product and event analytics platform that processes billions of records every day in real-time to enable analytics and event-driven systems

Partner with analytics leaders and analysts to ensure adherence to data governance and data modeling best practices

Partner with product engineering teams to enhance the efficiency of product analytics clients and data collection mechanisms

Contribute software designs, code, tooling, testing, and operational support to a multi-terabyte analytics platform

Provide technical leadership to the data engineering team and actively lead design discussions

Constantly monitor our data platform and make recommendations to enhance system architecture

Work collaboratively with other data engineers, analysts, and business stakeholders to understand and plan technical requirements for projects

Prioritize project intake, perform cost/benefit analysis, and make decisions about what work to pursue that best balances our platform’s users, stakeholders, and technology

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Scalable data architectureETLData quality monitoringDistributed data processingKafkaSparkDesign patternsCoding best practicesData modelingAirflowCeleryPythonJavaSQLSource control systemsGitBusiness stakeholder collaborationCloud-based DevOpsAWSGoogle Cloud PlatformAzureAmplitudeSnowplowSegmentEvent analytics platformsRelational database designSnowflakeDistributed columnar-store databasesLinux/Unix system administrationContainerization technologies

Required

5+ years of engineering experience in a fast-paced environment; 3+ 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

Working knowledge 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 or Java

Proficiency with modern source control systems, especially Git

Experience working with non-technical business stakeholders on technical projects

Preferred

Cloud-based DevOps: AWS or Google Cloud Platform or Azure

Experience with Amplitude, Snowplow, Segment, or other event analytics platforms

Relational database design

Snowflake or other distributed columnar-store databases

Basic Linux/Unix system administration skills

Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Benefits

Bonus or commission

Restricted Stock Units (RSUs)

Paid time off

Generous 401k match

Wellbeing resources

Company

Vimeo

Glassdoor

3.6

Vimeo is a provider of all-in-one video software solutions.

Founded in 2004

New York, New York, USA

1,001-5,000 employees

https://vimeo.com

H1B Sponsorship

Vimeo has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

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2020 (8)