Bird

Analytics Engineer

Bird

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Design and implement understandable data models that support flexible querying and data visualization
  • Instrument algorithms and machine learning pipelines from complex business requirements
  • Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it
  • Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value
  • Own the creation and support of internal data architecture and governance standards and best practices
  • Lead the selection, implementation, optimization, and integration of data tools
  • Rapidly deliver on concepts through prototypes that can be presented for feedback
  • Train fellow employees on best practices for data standards, DAGs, code, documentation and visualization and help others act as successful stewards of our internal tools

Requirements

  • Bachelor's degree in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution
  • 2-3+ years of relevant experience in data engineering
  • Expertise in writing SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
  • Experience with big-data technologies (e.g. Spark, Kafka, Hive)
  • Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
  • Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
  • Proficiency with Git (or similar version control) and CI/CD best practices
  • Experience in managing workflows using Agile practices
Benefits
  • Plenty of time off to relax and recharge, plus a wellness resource to help you wind down.
  • A work-from-home stipend.
  • An employer-paid healthcare package.
  • Of course, Bird ride credits to get you where you need to be!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata warehousingstar schemasslowly changing dimensionsELTETLMPP databasesbig data technologiesSparkKafka
Soft Skills
communicationleadershiporganizationaltrainingcollaborationproblem-solvingtime managementfeedbackguidancestewardship