• Location: Boston, Massachusetts
  • Date Posted: 15th May, 2020
  • Reference: AR51520B

Your overall mission:


As a Lead Data Engineer, you'll support the scaling of our data science infrastructure and capability through mentoring and growing engineers by providing resources and establishing best practices. You'll manage the team's organizational communications as an advocate for data science, ensuring that your colleagues' satisfaction with their contributions.


What you'll do:



  • Adapt and establish best practices for data infrastructure and data governance

  • Manage technical debt and anticipate data science technical needs

  • Manage the data engineering roadmap and help to bring the organization towards an automated, scalable and fault-tolerant infrastructure

  • Coach engineers and team members on translating business requirements into technical designs and solutions

  • Create opportunities for continuous learning and professional development

  • Manage third-party relationships


What you'll gain:



  • Competitive compensation and benefits

  • Unlimited room for growth and development

  • The ability to make a noticeable impact and improve lives


What you'll need:



  • 5 or more years of experience working with data technologies (BI or data science) including time spent leading data teams

  • B.S. in Computer Science, Mathematics, Statistics, Engineering or a related field

  • Experience with SQL, R, Python, Java, SPSS, Tableau or other business intelligence tools

  • Experience working in cloud platforms (AWS, Azure)

  • Experience working with cross-functional product teams

  • Proven track record translating and productionizing machine learning algorithms

  • Ability to maintain data infrastructure and scalable applications

  • Strong understanding of data warehouse and application from design to deployment

  • Knowledge of best practices for SDLC, source control and testing

  • Passion for mentoring colleagues

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