Sr. Data Engineer - Analytics

$122,400 - $187,000/Yr

Vimeo - New York, NY

posted 2 months ago

Full-time - Mid Level
New York, NY
Food Services and Drinking Places

About the position

Vimeo is seeking an experienced Senior Data Engineer - Analytics to join our Data Architecture and Analytics Engineering team. In this role, you will work closely with Data Analysts and Data Scientists to create and maintain robust, scalable, and sustainable data models that provide decision-making insights for senior leadership, including executives. The ideal candidate is a self-starter with a bias for action and results, possessing experience in a fast-paced, data-driven environment. Your primary responsibilities will include building data models that support dynamic and efficient data analysis, collaborating with other teams to maintain and evolve those models over time. You will ensure alignment to coding standard methodologies and the development of reusable code. Additionally, you will partner with Data Analysts to understand business processes and identify opportunities to build scalable and efficient data models that can be used for scalable, refreshable analysis and reporting. You will also create and enable the generation of ad-hoc and on-demand data sets for use by analysts and data scientists, and work with Engineering teams to set up monitoring and alerting systems for business and product KPIs.

Responsibilities

  • Build data models that can support dynamic and efficient data analysis.
  • Collaborate with other teams to maintain and evolve data models over time.
  • Ensure alignment to coding standard methodologies and development of reusable code.
  • Partner with Data Analysts to understand business processes and identify opportunities for scalable data models.
  • Create and enable the generation of ad-hoc / on-demand data sets for analysts and data scientists.
  • Work with Engineering teams to set up monitoring and alerting systems for business and product KPIs.

Requirements

  • BS/MS in Computer Science or a related technical field.
  • 5+ years working with Analytics and Data Engineering teams with a mixed data engineering and analytics background.
  • 5+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud.
  • Experience working on or leading initiatives around data governance, master data management, data catalogs, and enterprise data warehouse architecture.
  • Strong analytical skills, data sensibility, and an able communicator.
  • Open to working on multiple projects simultaneously.
  • High proficiency in SQL, Python, Dimensional Modeling, Data pipeline development, workflow management, and orchestration tools, ETL optimization and best practices, Snowflake or other column-oriented and cloud-based databases, and Relational Databases.

Nice-to-haves

  • DBT
  • Git / Github
  • MySQL is a big plus
  • Looker/Tableau is a big plus
  • Experience with large data sets (terabyte scale)
  • Apache Airflow

Benefits

  • Bonus or commission
  • Restricted Stock Units (RSUs)
  • Paid time off
  • Generous 401k match
  • Wellbeing resources
  • And more
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