SENIOR DATA ENGINEER, BUSINESS ENABLEMENT

ezCater
Full-time
Boston, MA
$141,000 - $174,000
Posted on 5 months ago

Job Description

The Data Technology team at ezCater is hiring a Senior Data Engineer to join our expanding team in solving complex data and platform challenges to accelerate our growing business. The ideal candidate lives and breathes data while driving systems and architecture best practices. They care about driving business impact through producing solid and efficient infrastructure alongside accurate and performant data. You will have the opportunity to work directly with executive stakeholders as we embark on a massive-scale data modeling effort across the organization, so flexibility and the ability to translate business requests to implementation are key.

Responsibilities

  • Write and ship a lot of code
  • Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets
  • Drive architectural decisions and thoughtfully balance trade-offs in system design
  • Lead cross-functional data initiatives
  • Champion high standards in data quality, security, and discoverability
  • Translate complex technical challenges into clear solutions
  • Design and develop high-performance data pipelines
  • Adhere to SDLC, including CI/CD and best practices
  • Identify and drive opportunities to optimize and/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

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
  • An open mind and willingness to be flexible
  • Experience with Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations (nice-to-have)
  • Desire to learn is a must

Benefits

  • No benefits