Hybrid Data Engineer

Posted 1 hour ago

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About the role

  • Data Engineer developing data infrastructures and pipelines for Motive's Enterprise clients. Collaborating across teams to enhance data processing with modern tools and frameworks.

Responsibilities

  • Build data pipelines based on product data, which will go into our product for Enterprise customers
  • Architect and design data models in collaboration with data and product teams
  • Communicate effectively across multiple teams and projects.
  • Actively work on deploying Data Ops into Motive, driving the most robust data models using the latest tools in the market
  • You will be working with airflow, aws, data observability tooling and table creation frameworks similar to dbt.

Requirements

  • Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
  • 6+ years of experience in Data Engineering, including experience building modelled tables
  • Strong applied knowledge in SQL, Python and modern data engineering stack (dbt, airflow, AWS)
  • Willingness to learn new technologies
  • Solid communication, collaboration, and people skills

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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