Job Description: Data Engineer

Salary: $110K - $176K Location Type: Remote Employment Type: Full-Time

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Building the Future of Crypto

Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

Become a Krakenite and build the future of crypto!

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Proof of Work

The Team

Embark on a transformative journey with Kraken's data team, where your expertise will directly influence the evolution of the cryptocurrency landscape. The data team is the backbone of decision-making at Kraken. No company can grow without high-quality decision-making that incorporates what success looks like. You will be quite literally and quantitatively defining success on a daily basis for our growth, our products, and our leadership.

Join us, and be part of a team where data is not just an asset; it's our language, our tool, and our future.

The Opportunity

• Your data expertise will inform our product development, impacting how we build the next generation of products.
• Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics, and ML models.
• Lead cross-functional projects with analysts, scientists, engineers, and product teams to build data pipelines using Airflow, Python, and modern ETL frameworks.
• Develop and automate reporting of key performance indicators of various Kraken’s products at scale.
• Develop high-quality code for pipelines and dashboards, incorporating software engineering best practices.
• Deliver insights that shape product direction through clear, data-driven storytelling.

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Skills You Should HODL

• A degree in a field emphasizing analytical rigor, such as software engineering, economics, or a hard science.
• Proficiency in SQL and familiarity with Python libraries such as pandas, matplotlib, and plotly.
• Experience setting up and managing data pipelines, with a strong understanding of data workflow orchestration.
• Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly.
• Familiarity with dbt (data build tool) and version-controlled analytics workflows.
• Curious and investigative, with a natural tendency to explore data deeply and spot hidden patterns.
• Comfortable in fast-paced environments, delivering quality work with speed and adaptability.
• Strong communicator who can simplify complex data ideas for both technical and non-technical audiences.

Nice to Haves

• Familiarity with machine learning model development.
• Deep interest in improving user experiences through better product analytics and experimentation.
• Passion for continuous learning and approaching problems with a beginner’s mindset.
• Solid understanding of the cryptocurrency space and how financial markets function.

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#LI-Remote #USCANEU

This job is accepting ongoing applications and there is no application deadline.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from educational institutions.