Data Engineer

Reposted 7 Hours Ago
Hiring Remotely in India
Remote
Senior level
Blockchain • Fintech • Financial Services • Cryptocurrency • Quantitative Trading
We are the bridge between the crypto and the institutional worlds.
The Role
As a hands-on data engineer, you'll build and enhance scalable data platforms, develop data pipelines, and collaborate with various teams to improve data solutions and system performance.
Summary Generated by Built In

Who We Are:

Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.

The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.

Additional information about Galaxy's businesses and products is available on www.galaxy.com.

What We Value:

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

  • Seek Excellence.
  • Be Selective To Be Effective.
  • Be Highly Aligned, Loosely Coupled.
  • Disagree Transparently.
  • Encourage Independent Decision-Making.
  • Build Dream Teams.

Who You Are:

You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology. 

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 (flinkkdb) 
  • 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
  • Competitive paid time off
  • 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
  • Opportunities to learn about the Crypto industry
  • Smart, entrepreneurial, and fun colleagues
  • Employee Resource Groups

*Benefits may vary depending on location.

Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact [email protected]

Skills Required

  • 5+ years of professional experience in data engineering or distributed systems
  • Strong hands-on coding experience in Python, Java, or similar languages
  • Experience building and operating both batch and streaming data pipelines
  • Strong experience with AWS, Databricks/Spark, and modern data architectures
  • Hands-on experience with dbt and Airflow for orchestration
  • Solid understanding of data modeling, data quality, and production data systems
  • Experience working with relational and non-relational databases
  • Familiarity with CI/CD, testing frameworks, and monitoring tools
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Asheville, NC
335 Employees
Year Founded: 2018

What We Do

Galaxy Digital (TSX: GLXY) is a tech-driven financial services and investment management firm that provides institutions and direct clients with a full suite of financial solutions spanning the digital assets ecosystem. Galaxy Digital operates five synergistic business lines: Trading, Asset Management, Principal Investments, Investment Banking, and Mining. Galaxy Digital's CEO and Founder is Mike Novogratz. Galaxy Digital is headquartered in New York City, with offices in Chicago, San Francisco, London, Amsterdam, Tokyo, Hong Kong, the Cayman Islands (registered office), and New Jersey. Our mission is to drive systems change through technology. Today, we are primarily focused on digital assets, cryptocurrencies and blockchain technology, and how these technological innovations will drastically alter the way we store and transfer value.

Gallery

Gallery

Similar Jobs

Atlassian Logo Atlassian

Data Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Bengaluru, Bengaluru Urban, Karnataka, IND
11000 Employees

Atlassian Logo Atlassian

Senior Data Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Bengaluru, Bengaluru Urban, Karnataka, IND
11000 Employees

Moderna Logo Moderna

Data Engineer

Healthtech • Biotech
In-Office or Remote
2 Locations
6848 Employees
131K-209K Annually
Remote or Hybrid
2 Locations
175633 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account