Data Analytics Engineer, Fingerprint

$90-180k

Salary applicable to US based applicants and may vary dependent on location

SQL

Python

Tableau

Looker

Airflow

Power BI

Redshift

NumPy

Pandas

Luigi

Metabase

Snowflake

BigQuery

Vertica

Stitch

Talend

Git

dbt

Junior and Mid level

Remote from Canada, Europe, UK, US

More information about location

Device intelligence platform for fraud detection

Job no longer available

Device intelligence platform for fraud detection

201-500 employees

B2BSaaSCyber Security

Job no longer available

$90-180k

Salary applicable to US based applicants and may vary dependent on location

SQL

Python

Tableau

Looker

Airflow

Power BI

Redshift

NumPy

Pandas

Luigi

Metabase

Snowflake

BigQuery

Vertica

Stitch

Talend

Git

dbt

Junior and Mid level

Remote from Canada, Europe, UK, US

More information about location

201-500 employees

B2BSaaSCyber Security

Company mission

To power a safe and seamless internet through device intelligence.

Job

Company

Role

Who you are

Are you passionate about data analytics and eager to work on large-scale projects?
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

Desirable

Proficiency with the Python data analytics stack (Numpy, pandas, Jupyter, etc.)
Machine Learning skills, particularly for quality estimation of ML algorithms

What the job involves

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
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

Our take

Digital fingerprinting is an essential process in web browsers that tracks the digital address of a device to monitor web activity. This technique facilitates the identification of fraud and spam, as well as warning signs of account takeovers. However, the success of this requires users to accept cookies, a requirement that is easy to avoid.

Fingerprint provides a digital fingerprinting tool that generates a unique identifier of browser activity without requiring the user to accept cookies. The service uses the same WebGL and canvas fingerprinting utilized by existing competitors, but instead of focusing on devices, it identifies web activity. Suspicious activity will result in the identified user being logged in a database, allowing the service to be improved for others.

With this innovative approach, Fingerprint has been able to build up an impressive client roster of over 6,000 companies, including 16% of the top 500 websites by traffic. As well as displaying sustained growth through funding rounds, the company has also continued to improve upon its offering.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

36% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 4 rounds)

Oct 2023

$33m

SERIES C

Nov 2021

$32m

SERIES B

Total funding: $77m

Company benefits

Competitive salary: We offer competitive salaries and equity because we believe all employees should own a part of Fingerprint.
Flexible Time Off: To prioritize work-life balance, we even have a minimum vacation days target to encourage everyone gets the rest they need.
Remote-first: We work asynchronously and respect time-zone differences. Choose where and when you do your work best.
Tech: We hook you up with a MacBook so you can do your best work (you get to keep it after 4 years).
Culture: We're a small team with a lean hierarchy where you can make a real impact in shaping the company culture. Come grow with us!
Fun: We meet up as a company once a year (We went to Mexico City in 2023!) and teams meet up in smaller groups throughout the year.
Grow With Us: We want you to grow with us, so we offer a $600 yearly budget that you can spend to learn new stuff.
Personal Development: We give you the freedom to grow and experiment. Work on open-source projects and try new things and ideas.

Company HQ

Little Italy, Chicago, IL

Leadership

Valentin Vasilyev

(Co-FOunder & CTO)

Valentin worked as a Software Engineer for the first 9 years of their career, before holding Team Lead roles at Evrone and Machinio.com. They left this role in March 2019 to co-found Fingerprint the following month.

Dan Pinto

(Co-Founder & CEO)

Previously co-founded Machino, where they were CTO, and has experience in Software Engineering.

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