
Data Analytics Engineer
The Great Sussex Way
full-time
Posted on:
Location Type: Remote
Location: Vermont • United States
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About the role
- Manage and evolve data ingestion, sanitation, and transformation pipelines.
- Design performant data pipelines for ingestion and transformation of complex datasets into usable data products.
- Build scalable infrastructure that supports hourly, daily, and weekly update cycles.
- Implement automated QA checks that catch data anomalies before they reach clients.
- Re-architect parts of our system to improve performance or reduce cost.
- Support team members through code reviews and collaboration.
Requirements
- B.A./B.S. in Computer Science, Software Engineering, or a related field; training in statistics/mathematics/machine learning is a plus.
- 3-5 years of experience building scalable, reliable data pipelines and data products in a cloud environment (AWS preferred).
- Deep understanding of ELT processes and data modeling principles.
- Strong programming skills in Python (or similar scripting languages).
- Advanced SQL skills and intermediate to advanced relational database design experience.
- Familiarity with joining large behavioral datasets like Adobe and GA4 clickstream data.
- Excellent problem-solving skills and attention to data detail.
- Experience managing and prioritizing multiple initiatives with minimal supervision.
Benefits
- health, dental, short-term and long-term disability and vision insurance
- 401(k) with company match
- flexible work schedules
- wellness plan
- exceptional growth opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data ingestiondata sanitationdata transformationdata pipelinesdata productsautomated QA checksELT processesdata modelingPythonSQL
Soft Skills
problem-solvingattention to detailcollaborationcode reviewsprioritizationinitiative management
Certifications
B.A./B.S. in Computer ScienceB.A./B.S. in Software Engineeringtraining in statisticstraining in mathematicstraining in machine learning