Data Engineer at Remote

  • Remote
  • Remote

Website Remote

 

As a data engineer, you will be the link between data producers and data consumers at Remote. You’ll primarily focus on building out our data pipeline to unify our various data sources in a compliant manner. That being said, you should also be able to jump in as needed and help deliver consumable data to internal users.

Requirements

Must have (professional experience)

  • 3+ years of experience with SQL (we use PostgreSQL at Remote)
  • 3+ years experience with data pipeline tools, e.g. Meltano or Stitch
  • Experience with BI Tools e.g. Metabase, Looker, or Tableau

Key responsibilities

  • Maintain our data pipeline by scheduling extractors within Meltano, and handling errors.
  • Writing custom extractors in Python for our Meltano ELT pipeline.
  • Writing transformations using DBT.
  • Identify and address data quality issues.
  • Build documentation around our tools.
  • Work with stakeholders to get them the data they need while maintaining safe data access.
  • Work with stakeholders to build the necessary data pipelines to get people the data they need.
  • Building a clear vision for the needs of the data team, and how to improve our process.

Remote Compensation Philosophy

Remote’s Total Rewards philosophy is to ensure fair unbiased compensation and fair pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labour practices and therefore pay a minimum annual salary of USD 40,000 per year, in all locations throughout the world. Actual compensation may vary based upon geographical location, experience, and/or skill level. However, it will never be below our minimum global compensation mentioned.

Benefits

You can learn more about the benefits we’re offering to all internal employees at Remote by visiting our public Benefits & Perks Handbook page.

Practicals

  • You’ll report to: Head of Automation
  • Team: Automation
  • Location: Anywhere in the World
  • Start date: As soon as possible

Application process

  1. (async) Profile review
  2. Interview with recruiter
  3. Interview with future manager
  4. (async) Small challenge
  5. (async) Challenge Review
  6. Interview with team members (no managers present)
  7. (async) Offer

To apply for this job please click on -> boards.greenhouse.io.

Data Engineer at Remote

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