Data Analytics Engineer

Summary

Join Fingerprint's Identification Team as an Analytics Engineer and contribute to the development of high-quality data analytics tools for our Identification API Product, processing over 1 billion requests monthly. You will play a crucial role in providing insights into algorithm accuracy, designing experiments, detecting anomalies, and analyzing trends in time-series data. This position requires proficiency in SQL, experience with analytical storage solutions, and a strong foundation in statistics. The ideal candidate will also possess experience with data visualization tools and data transformation frameworks. Fingerprint offers a competitive salary and a collaborative, remote work environment.

Requirements

• 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

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

Preferred Qualifications

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

Benefits

• $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
• Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions