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# Analytics Engineer

- **Company:** SimilarWeb LTD
- **Location:** Prague, OK, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Application Integration Architecture, Software Applications, Microsoft Azure, Code Review, Continuous Integration, Extract Transform Load (ETL), Cursor (Graphical User Interface Elements), Python (Programming Language), Gitlab, Git, Pyspark, Git Flow
- **Published:** August 19, 2026
- **Apply:** https://job-boards.greenhouse.io/similarweb/jobs/8081308

## About the Role

* Has strong proficiency in Python, PySpark, and advanced SQL.
 * Can take a vague, messy problem and drive it to a working solution by planning, designing, and delivering independently.
 * Has a solid grasp of software engineering fundamentals (Git, continuous integration, and the discipline to maintain a mostly one-person codebase).
 * Demonstrates great judgement on how much engineering a problem deserves, always keeping analytical correctness as non-negotiable.
 * Is comfortable working with our AWS stack (or has a background in GCP/Azure with a genuine willingness to learn AWS).
 * Is quick to pick up new tools and can build across a wide variety of infrastructures, rather than leaning on just one familiar stack.
 * Communicates clearly, particularly when translating technical concepts to non-engineers.
 * Has analytics at heart and cares about the question behind the code and digs into why a number looks off before moving on.
 * Bonus: Has experience or curiosity in building AI-powered applications.

## Description

* Infrastructure & Automation: Set up and maintain Git workflows, code reviews, and deployments in GitLab, while managing automated ETLs and agents.
 * Efficiency: Identify repetitive manual work across the team and automate it.
 * Hands-on Analysis: Dive directly into the data when a project calls for it, balancing your time between building and analyzing. Understand the analytics you are building solutions for.
 * AI Integration: Use AI coding assistants (like Cursor or Claude) as a normal, everyday part of your workflow.
 * Collaboration: Work closely with infrastructure teams to build and scale new solutions.
 * Having lots of fun!


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