About the role

  • Lead the successful design and implementation of complex technical problems.
  • Lead and contribute to the design and growth of our Data Products and Data Warehouses around Content movements and metrics.
  • Use sophisticated analytical thought to exercise judgement and identify innovative solutions.
  • Partner with technical and non-technical colleagues to understand data and reporting requirements, and collaborate with Data Product Managers, Data Architects and other Data Engineers to design, implement, and deliver successful data solutions.
  • Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
  • Develop Data Quality checks.
  • Develop and maintain ETL routines using ETL and orchestration tools such as Airflow.
  • Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity.

Requirements

  • 7+ years of data engineering experience developing large data pipelines.
  • Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
  • Good understanding of SQL Engines and able to conduct advanced performance tuning.
  • Ability to think strategically, analyze and interpret market and consumer information.
  • Strong communication skills – written and verbal presentations.
  • Excellent conceptual and analytical reasoning competencies.
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Familiarity with Agile Scrum principles and ceremonies.

Benefits

  • Medical, financial, and/or other benefits
  • Potential bonus and/or long-term incentive units

Job title

Lead Data Engineer

Job type

Experience level

Senior

Salary

$152,200 - $204,100 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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