
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