Data Analytics Engineer
90k - 180k USD
Remote
Full Time
#Engineering
#Fraud Detection
#Data Analytics
#SQL
#Data Visualization
#Statistics
#Clickhouse
#DBT
#Apache
#Data Pipeline
#BigQuery
#Redshift
#Snowflake
At Fingerprint, we are on a mission to help developers stop online fraud right at the source. We turn bold ideas into reality, supporting a diverse range of clients from individual developers to major public corporations. As a fully remote and globally distributed team, we take pride in our open-source roots, including our flagship project, FingerprintJS. With 77 million dollars in funding from top-tier investors like Craft Ventures, Nexus Venture Partners, and Uncorrelated Ventures, we are growing fast and looking for passionate people to help us shape the future of identification technology.
What is this role?
We are looking for a Data Analytics Engineer to join our Identification Team on a full-time, remote basis. This is a mid-level position perfect for someone who enjoys working on large-scale data projects. You will be instrumental in building high-quality tools that analyze our Identification API, which currently handles roughly 1 billion requests every month.
What will you do?
- Build and maintain sophisticated tools for deep data analytics to support our Identification API product.
- Design experiments, monitor algorithm accuracy, identify trends within time-series data, and detect anomalies.
- Champion a data-driven culture by sharing your technical expertise and best practices with the rest of our engineering team.
What makes you a great fit?
To succeed in this role, you should be comfortable working in an international, English-speaking environment. We are looking for someone who brings a strong foundation in both engineering and analytics.
- At least 2 years of experience in data analytics, data engineering, or a related field.
- Advanced SQL proficiency and a solid grasp of statistics for experiment design.
- Hands-on experience with analytical storage solutions like Clickhouse, Snowflake, BigQuery, or Redshift.
- Familiarity with data transformation frameworks such as dbt and experience using visualization tools like Apache Superset.
- Strong software engineering fundamentals, including experience with git, shell environments, and data pipelines.
What's in it for you?
We offer a competitive salary range of 90,000 USD to 180,000 USD. Beyond compensation, we provide a supportive environment designed to help you thrive no matter where you are located.
- The freedom of remote work.
- Flexible hours to help you balance your professional and personal life.
- Equity compensation so you can share in our success.
- Dedicated support for your professional development.
Fingerprint
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