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Join Galaxy Digital Services as a Data Engineer and help build production data platforms. Competitive salary, hybrid work, and a chance to work at the intersection of finance and technology.
Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality.
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S.
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
What You’ll Do:
- Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously
- Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales
- Operate Kafka as the message broker powering cross-team event-driven architecture
- Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes
- Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS
- Support dbt for transformations and Airflow (or similar) for orchestration across the platform
- Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
- Troubleshoot production issues and drive the fixes
- Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
- Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 5+ years building data or platform engineering systems in production
- Strong coding skills in Python or Java
- Experience operating production data platforms on AWS and supporting downstream teams who build on them
- Hands-on with Kubernetes and Terraform
- Experience running Kafka (or a similar broker) in event-driven systems
- Working knowledge of Databricks/Spark, dbt, and Airflow
- Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server)
- Comfortable with CI/CD, testing frameworks, and observability tooling
Bonus Points:
- Experience with dashboarding technologies
- Experience with streaming engine (flink, kdb)
- Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
- Experience in Crypto
What We Offer:
- Competitive base salary and discretionary bonus
- Flexible Time Off (paid)
- Hybrid Working Arrangements
- Company-paid health and protective benefits for employees and their eligible dependents
- Free coaching and counseling sessions through Headspace
- Generous paid Parental Leave
- Free daily snacks in-office and weekly lunches
- Opportunities to learn about the Crypto industry
- Smart, entrepreneurial, and fun colleagues
- Employee Resource Groups
*Benefits may vary depending on location.