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Staff Data Engineer
Posted on 1/14/2023
Experience Level
  • You'll own the data pipelines and infrastructure leveraged for billing, reporting, analysis, and ML applications
  • You'll work with your Data Infrastructure and Platform team to design, build, and deliver innovative data applications under aggressive deadlines
  • You'll proactively lead complex and cross-functional, abstract, mission-critical initiatives that bring operational excellence with a focus on performance analysis, optimization, and tuning
  • You'll be a driving influencer on optimizing or even re-designing our company's data architecture to support our next generation of data products and analytics initiatives
  • Work closely with data analysts and data scientists across finance, sales, product, and marketing and build the infrastructure required for them to deliver high-quality analytics
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing their respective data initiatives
  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet business requirements
  • Build the infrastructure required for optimal extraction, transformation, and loading data from various sources using SQL and AWS 'big data' technologies
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • 10+ years experience in a Data Engineering role with company-wide impact
  • 2+ years leading a Data Engineering & Analytics Engineering team
  • Experience owning and managing data pipelines and workflow management tools (i.e., Census, Fivetran, and Airflow)
  • Experience with object-oriented/object-function scripting languages: Python or Java
  • Proficiency in writing performant, complex SQL queries combining multiple sources of data
  • Preferred exposure to data transformation tools (i.e., dbt) and big data tools (i.e. Kafka), as well as familiarity with analytical development and data visualization tools
  • Experience with source/version control (i.e., Git)
  • A preferred history of working with AWS cloud services: EC2, EMR, RDS, and/or Redshift
  • Experience with Data Warehouses (i.e, Snowflake or Redshift)
  • Experience with self-directed management of stakeholder expectations
  • An appetite for learning and passion for the role of data in helping solve complex questions
  • Excellent communication and collaboration skills
  • Experience working at, or a strong understanding of saas startups is helpful

51-200 employees

Web developer platform
Company Overview
The web is changing — it's Netlify's mission to make sure it changes for the better. Their tools help create modern sites that are many times faster and more secure, scalable, and compatible with modern workflows.
Company Core Values
  • Transparent
  • Empowerment
  • Commitment