Fingerprint
Senior Data Warehouse Engineer
Fingerprint
$152k - $205k
Worldwide (Remote)

Senior Data Warehouse Engineer

Overview

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence.

Job Description

As a Senior Data Warehouse Engineer, you’ll play a key role in shaping the data backbone that powers our industry-leading platform.

Responsibilities

  • - Architect and build scalable, high-performance data warehouse solutions that empower analytics and operational excellence across our platform.
  • - Develop and maintain reliable, well-documented data pipelines and ELT processes, ensuring data quality and consistency.
  • - Continuously tune and optimize data warehouse performance—partitioning, indexing, and query optimization are your bread and butter.
  • - Partner with data analysts and scientists to transform raw data into insightful, actionable analytics and machine learning models.
  • - Troubleshoot, monitor, and refine our data warehouse infrastructure, balancing speed and cost efficiency.
  • - Foster a data-driven culture by sharing best practices and championing clean, well-structured data.
  • - Work with modern cloud-based data warehouses like ClickHouse and ensure seamless integration with our services.
  • - Contribute to the development of new developer-facing data tools that empower teams across the company.

Required Skills

  • - A team player who loves collaborating in a tight-knit, cross-functional team.
  • - A high degree of ownership and autonomy, with a proven ability to thrive in ambiguous environments.
  • - Strong communication skills in English to navigate our global, remote team.
  • - Extensive experience designing, implementing, and optimizing data warehouses in cloud environments (AWS, GCP, etc.).
  • - Hands-on expertise with data modeling and transformation tools like dbt.
  • - Excellent SQL skills and familiarity with modern columnar storage data warehouses (e.g., ClickHouse, Databricks, BigQuery, or Snowflake).
  • - Experience with data pipeline orchestration tools like Prefect or Airflow.
  • - Familiarity with BI tools (e.g., Apache Superset, Sigma, Tableau, Looker) is a plus.
  • - A solid foundation in software engineering best practices: version control, code reviews, testing, and automation.
  • - Exposure to infrastructure-as-code tools (like Terraform) and a DevOps mindset is a bonus.
  • - Bonus points for scripting/automation experience in Bash, Python, or Go.

About the company

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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