Fingerprint
Data Analytics Engineer
Fingerprint
$100k - $180k
Worldwide (Remote)
Apply Now ->
SQL
Clickhouse
Snowflake
Data

Data Analytics Engineer

Overview

Fingerprint is looking for an Analytics Engineer to join our Identification Team. You will play a crucial role in providing high-quality tools for deep data analytics over our Identification API Product, which processes approximately 1 billion requests per month.

Job Description

Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (20K stars on GitHub). We have raised $77M and are backed by Craft Ventures, Nexus Venture Partners, and Uncorrelated Ventures.

Responsibilities

  • - Develop tools for deep data analytics on the Identification API Product
  • - Provide insights about algorithm accuracy, design experiments, detect anomalies, and analyze trends in time-series data
  • - Foster an engineering-focused, data-driven culture within the Fingerprint team by sharing tools and knowledge on effective data analytics approaches
  • - Apply software engineering best practices to deliver clean, transformed data ready for analysis
  • - Strengthen the team behind the industry-leading device identification API through applied data analytics skills

Required Skills

  • - Proficiency in English for clear communication within an international remote team
  • - BS/MS in Computer Science or a related field, or equivalent work experience
  • - 2+ years of experience in Analytics Engineering, Data Engineering, Data Analytics, or Data Science
  • - Excellent SQL skills
  • - Practical experience with analytical storage solutions such as Clickhouse, Snowflake, BigQuery, Redshift, Databricks, etc.
  • - Familiarity with data transformation frameworks and approaches (e.g., dbt, materialized views, data pipeline workflow tools)
  • - General engineering skills: git, IDE, shell
  • - Experience with data visualization tools like Apache Superset, Tableau, Metabase, Looker, etc.
  • - Strong foundation in statistics for designing metrics and experiments
  • - Ability to conduct Exploratory Data Analysis (EDA) for investigating ad-hoc questions and identifying anomalies

Benefits

  • - 100% remote company
  • - Inclusive work environment
  • - Encouragement for people from underrepresented groups in tech to apply
Apply Now ->

About the company

Fingerprint

Identify every visitor. Stop fraud, detect bots, or delight customers. Identify good and bad visitors with industry-leading accuracy - even if they're anonymous.


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