Data Engineer | Remote

  • Location
    San Francisco, California
  • Category:
    IT - IT
  • Job Type:
    Direct Hire
  • Job reference:
    US_EN_8_824444_2867954

A leading mind+machine powered analytics partner is seeking a Data Engineer to work with information designers, data architects and business stakeholders to determine the needed metadata, data formats, structures, workload orchestration and pipelines capabilities. This is a fully remote role.

 

RESPONSIBILITIES:

  • Understand the business and technology priorities, success measures and data landscape to develop reliable data marts and data pipelines.
  • Share competitive insights and market trends and collaborate with the company’s technical community.
  •  

    REQUIREMENTS:

  • 3-5 years data engineering experience
  • B.S. Degree or higher in STEM fields such as Big Data, Analytics, Information Systems, Computer Science or relevant work experience
  • 2+ years of experience in interpreting business needs to technical requirements
  • Agile methodology experience is desirable
  • 3+ years of practical experience in using SQL to build data pipelines
  • Ability to understand non-relational and relational databases such as data structures and data modelling
  • 2 years experience in programming languages (Scala, Java or Python)
  • Exceptional written and communication skills
  • Experience with software configuration management tools and environments such as Git, Bitbucket, JIRA, Jenkins, etc.
  •  

    Preferred Requirements:

  • Logistics industry background
  • Background in data analytics 
  • Azure tech stack experience
  • Distributed computing frameworks experience (kafka, hive, spark, etc)


  • Equal Opportunity Employer/Veterans/Disabled

    To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.parkerlynch.com/candidate-privacy

    The Company will consider qualified applicants with arrest and conviction records