Engineering Manager, Data Platform | Education | NYC

Job Title: Engineering Manager, Data Platform | Education | NYC
Contract Type: Permanent
Location: New York, USA
Salary: Up to US$175000.00 per year
Reference: BBBH18233_1523982383
Contact Name: Michellie McDonald O'Brien
Contact Email:
Job Published: April 17, 2018 17:26

Job Description

A mid-sized Education Technology company located in Union Square, Manhattan is looking to grow out a new Data Science and Machine Learning team. As the Engineering Manager of this group, you will spearhead data-centric engineering projects and collaborate with other Product leaders and Engineering leaders. You will also lead and grow a team of data engineers, so managerial experience is a necessity in order for you to be successful in this role.


  • 5+ years of software engineering experience in Java, Scala, Python, or related language
  • Bachelor's degree or equivalent in Computer Science, Mathematics, Economics, or related field required; MS or PhD is a "good to have"
  • Demonstrated interest in machine learning and data science
  • Demonstrated experience leading and managing a team
  • Experience with building and managing data technologies (ie Data pipelines, distributed computing platforms, data warehousing, data analysis and visualization systems)


  • Build distributed systems that handle large amounts of data; drive various engineering projects to glean actionable insights from various data sources
  • Grow and mentor team of direct reports
  • Communicate clearly; explain complex technical concepts
  • Operate in a lean engineering and project management environment
  • Move quickly with time sensitive projects

Work Perks

  • Competitive compensation package, including base salary + bonus + options
  • Opportunity to work with ambitiously creative team members in a humble and mission-driven environment
  • Full health, dental, and vision benefit coverage
  • Generous vacation days

For more information, please contact Michellie McDonald-O'Brien at +1 646 766 1203 or via email for a confidential conversation.