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Data Engineer

  • New York, NY
  • Regular Full-Time
Job ID 13901601

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You are a Data Engineer with a strong technical understanding of back end data solutions, AWS technologies, programmatic advertising and analytics initiatives. You have the background and vision to  help build a data-driven talent acquisition platform that will scale along with our business. You are driven by excellence and aggressive goals. When working on a shared vision, you enjoy collaboration and contributing your ideas and expertise. 

Why Join Us?

  • We are positioned for exponential growth both as an industry as well as a company. Getting in at this stage means that you get to help further mold the company culture and product roadmap.
  • A chance to build something revolutionary. This is a rare opportunity for you to build a large-scale platform that will impact millions of people around the world. The market is ripe for disruption and there's no doubt that whoever cracks the puzzle will win the market. 
  • Quality of the team. Truly high-performing teams are hard to come by; joining us gives you an opportunity to collaborate with, learn from, and grow together with like-minded, successful tech veterans who have a track record of building transformational products.
  • An entrepreneurial path of progression. Hard work is recognized and individuality embraced. Your path of progression will be designed to suit you.

About the job: 

  • Design, build and maintain resilient data pipelines from a variety of data sources
  • Database administration, tuning, management, and security
  • Providing technical support for all database environments
  • Development and organization of all databases
  • Assess and implement new technologies for the database layer
  • Collaborate with data science and stakeholders across the organization to raise the bar for data best practices and management
  • Providing a long-term perspective on the relationship of the selected database technology to business opportunities
  • Set up, configure, maintain and enhance proper infrastructure to support a large scale data analytics environment
  • Take a pragmatic approach to development through understanding and making well-reasoned technical decisions and tradeoffs
  • Participate in pairing sessions, code reviews, and take initiative on research projects/requirements
  • Think and work agile, including automated testing, continuous integration and deployment

Requirements for consideration:  

  • Excellent and proven knowledge of the following: 
    • Postgres on Amazon RDS
    • Amazon Redshift
    • Python
    • SQL (Explain Analyze) 
  • Good knowledge of streaming data solutions, such as Kinesis, Kinesis Analytics, Kafka, etc.
  • Good knowledge of the following technologies is a bonus: 
    • Airflow
    • AWS 
    • Shell scripting
    • Docker
    • Pandas
  • Proficiency in Git, JIRA and Teamcity are a plus
  • 4+ years in a production environment a plus
  • Related Experiences: include Data Architect, Postgres/RDS and Redshift Engineer, Analytics Engineer, Backend Data Engineer, Data Warehouse Engineer, ETL Engineer

What’s on offer: 

  • A comprehensive suite of benefits to promote health and financial security for you and your family
  • Generous paid time off
  • Fun team and company outings 
  • Skills training and knowledge share webinars 
  • Write-for-Us and Ideas-First Employee Programs
  • Supportive workplace culture and much more . . . 

Location: 

With 27 office locations and remote hubs across 8 countries, we bring a global perspective and an open network to share solutions, contribute ideas and build together. Existing remote hubs and office locations include:

  • DE: Berlin, Munich
  • ES: Barcelona
  • NL: Amsterdam, Rotterdam
  • PL: Warsaw
  • PT: Lisbon
  • UK: London
  • US: New York, Chicago

As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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