The Great Sussex Way

Data Analytics Engineer

The Great Sussex Way

full-time

Posted on:

Location Type: Remote

Location: VermontUnited 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