Senior Data Engineer
Posted on 11/30/2023
INACTIVE
ezCater

501-1,000 employees

Corporate food solutions platform for ordering, delivery, and management.
Company Overview
ezCater stands as a trusted provider of corporate food solutions, serving 93% of Fortune 500 companies with a platform that streamlines food ordering, payments, budgeting, and reporting. The company also supports restaurants in expanding their catering business, offering customer acquisition to reliable delivery services. With a vast network of over 100,000 restaurants nationwide, 24/7 customer service, and a rewards system, ezCater ensures a diverse range of food options, professional preparation and delivery, and customer satisfaction.

Company Stage

Series D

Total Funding

$439M

Founded

2007

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

13%

1 year growth

28%

2 year growth

83%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Redshift
Python
BigQuery
SQL
AWS
Snowflake
Google Cloud Platform
CategoriesNew
Data Engineering
Data Management
Data & Analytics
Requirements
  • Strong experience with data warehousing, data lakes, ELT process, and enterprise data platforms such as Snowflake (preferred), Redshift & BigQuery
  • Experience with building performant data pipelines across disparate systems
  • Experience with cloud platforms such as AWS (preferred), GCP & Azure
  • Mastery in SQL and experience in Python
  • Ability to work independently and collaboratively
Responsibilities
  • Write and ship a lot of code. Mostly within dbt (SQL, Jinja)
  • Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets to ensure they meet the underlying business needs
  • Design and develop high-performance data pipelines. Adhering to SDLC, including CI/CD, best practices
  • Identify opportunities to optimize or scale existing parts of our stack
  • Utilize tooling and automation to improve developer efficiency
  • Monitor data systems to ensure quality and availability while seeking to drive down costs
  • Contribute to the team processes and community
  • Mentor other Data Engineers
  • Be part of our innovation and transformation story