Data Analytics Engineer

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 (previously invested in Tesla, Facebook, Airbnb ), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

 

 

 

 

Job Description:

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

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.

Qualifications:

• 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.

Nice to Haves:

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

Technologies:

• Our stack: Clickhouse, dbt, Apache Superset (Preset), Prefect
• Relevant technologies: Google BigQuery, Amazon Redshift, Snowflake, Apache Druid, Vertica, DataBricks, Apache Airflow, Dataform, Talend, Fivetran, Stitch, Luigi, Dagster, Tableau, Power BI, Looker, Metabase, Redash

 

$100-180k For cash compensation, we set standard ranges for all US based roles based on function, level and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications wi