Senior Data Warehouse 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.

 

 

 

 

At Fingerprint, we’re redefining online security and identity verification through cutting-edge technology and data-driven insights. As a Senior Data Warehouse Engineer, you’ll play a key role in shaping the data backbone that powers our industry-leading platform.

We’re looking for a collaborative, self-starter with a passion for data engineering and a knack for building efficient, scalable data pipelines and warehouses. In this role, you’ll work closely with data scientists, analysts, and engineers to design and implement robust solutions that drive smarter decision-making and fuel innovation.

What You’ll Do:

• 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.

What We’re Looking For:

• 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.

Technologies You’ll Work With:

• Data Warehouses: ClickHouse, Redshift
• Data Streaming: Confluent Kafka
• Data Transformation: dbt, SQL
• Data Orchestration: Prefect
• Infrastructure: AWS, Terraform
• Visualization: Apac