Senior Data Engineer

Vimeo

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States • New York

✨ AI Apply

💰 $137,000 - $188,000 per year

Senior

CloudKafkaPandasPythonSparkSQL

About the role

Leverage data engineering principles and technologies to build and maintain robust data solutions
Design, build, and maintain scalable and reliable data pipelines and data models within Databricks and Snowflake
Create robust, self-healing data pipelines through automation to reduce outages and recovery time
Collaborate with data analysts, product managers, and other stakeholders in an Agile environment to understand requirements and provide progress updates
Enforce best practices, coding standards, and ensure delivery of high-quality, maintainable code and data
Stay abreast of industry trends and encourage continuous learning across the team
Lead migration efforts from Snowflake to Databricks and support production rollouts

Bachelor's degree preferred (Business, Economics, Statistics, or Computer Science)
5+ years of experience in a data analytics or data engineering role (preferably in a SaaS business)
High proficiency in SQL
Python experience (especially data processing libraries like Pandas/Polars) and/or data streaming technologies (Kafka, Spark Streaming)
Existing experience with Databricks (required)
Knowledge of Snowflake (nice-to-have)
Experience with data modeling frameworks, especially dbt Cloud
Experience with documentation and version control via Github, Atlan, and/or Confluence (preferred)
Proficient in Excel and Google Sheets (pivot tables, keyboard shortcuts, etc.)
Expertise in data visualization tools with a preference for Looker with LookML
Proven experience taking a leading role in data engineering projects from conception to production
Strategic thinker with a proactive approach to identifying and solving business challenges
Sense of ownership and ability to independently initiate and drive projects to completion
Commitment to quality and best practices ("getting it right" as well as "getting it done")