Sr. Data Engineer - Analytics

Posted 22 Days Ago
2 Locations
Remote
122K-187K Annually
5-7 Years Experience
Fintech
The Role
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
Summary Generated by Built In

Vimeo is looking for an experienced Senior Data Engineer - Analytics to join our Data Architecture and Analytics Engineering team and 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, with experience in a fast-paced, data-driven environment.

 What you'll do:

  • Build data models that can support dynamic and efficient data analysis, and collaborate with other teams to maintain and evolve those 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 to build scalable and efficient data models that can be used for scalable, refreshable analysis and reporting
  • Create and enable the generation of ad-hoc / on-demand data sets for use by analysts and data scientists
  • Work with Engineering teams to set up monitoring and alerting systems for business and product KPIs

Skills and knowledge you should possess:

  • 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
    • Relational Databases

Bonus points (nice skills to have, but not needed):

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

Targeted Base Salary Range:  $122,400 to $187,000

The base salary range listed above is for candidates located in the U.S., including the New York City metro area.

At Vimeo, we strive to hire and nurture amazing talent across the globe. Actual salaries will vary depending on factors including but not limited to experience, specialized skills, internal alignment and a candidate’s home base.

Base salary is just one component of Vimeo’s total rewards philosophy. We offer a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base! Other rewards may include bonus or commission, Restricted Stock Units (RSUs), paid time off, generous 401k match, wellbeing resources, and more.

#LI-MM1

About Us:

Vimeo (NASDAQ: VMEO) is the world's most innovative video experience platform. We enable anyone to create high-quality video experiences to better connect and bring ideas to life. We proudly serve our community of millions of users – from creative storytellers to globally distributed teams at the world's largest companies – whose videos receive billions of views each month. Learn more at www.vimeo.com.

 

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.

Top Skills

Python
SQL
The Company
HQ: Washington, DC
35 Employees
On-site Workplace
Year Founded: 2015

What We Do

Quona Capital is a venture capital firm that invests in financial technology companies in emerging markets. The firm was formed with a simple idea - technology has the power to radically improve the quality, access and affordability of financial services for underserved consumers and businesses in Sub-Saharan Africa, Latin America and Asia. We invest in disruptive innovations to create a more financially inclusive world.

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