Galaxy Logo

Galaxy

Data Engineer

Reposted 6 Days Ago
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
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.
The summary above was generated by AI

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]

Similar Jobs

6 Days Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead data engineering architecture and execution for large-scale, low-latency analytics. Own technical direction, ensure operational data quality, design streaming and batch pipelines, mentor engineers, coordinate cross-functional teams, and deliver scalable solutions using Spark, Airflow, and AWS or equivalent data platforms.
Top Skills: AirflowAthenaColumn StoresDatabricksDatabricks ApisEmrFlinkHiveKafkaKappa ArchitectureLambda ArchitectureMaster Data Management (Mdm)Microservices ArchitectureRedshiftSparkSQLStreaming Pipelines
7 Hours Ago
Remote
India
Senior level
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
Design and maintain scalable Snowflake data warehouses and ETL/ELT pipelines. Lead Oracle-to-Snowflake migrations, including assessment, mapping, transformation, validation, and reconciliation. Develop data models and advanced SQL workflows, optimize Snowflake performance, troubleshoot pipeline and data quality issues, and support secure, governed, monitored cloud data platforms. Collaborate with architects, analysts, application teams, and business stakeholders on enterprise data modernization.
Top Skills: AgileAWSAzureCi/CdDevOpsDynamic TablesEltETLGCPGitInformaticaMatillionOraclePythonSnowflakeSnowpipeSQLStreamsTalendTasksTime Travel
20 Hours Ago
Remote
IND
Mid level
Mid level
HR Tech • Information Technology • Professional Services
Design, implement, and optimize graph data solutions for a supplier chain project. Responsibilities include graph modeling with LPG and RDF, Neo4j database development and query optimization, GCP data processing using BigQuery, GCS, and Dataproc, and integrating graph data with visualization tools. The role also involves schema and data design, SQL-based relational database work, performance tuning, and potentially ETL/ELT, streaming, API, and distributed systems development.
Top Skills: Api DevelopmentBigQueryCypherDataprocDistributed SystemsEtl/EltGcp Data FusionGoogle Cloud Platform (Gcp)Google Cloud Storage (Gcs)KafkaKinesisLabeled Property Graphs (Lpg)Neo DashNeo4JNeo4J AuraPower BIPysparkResource Description Framework (Rdf)SparksqlSQLTableau

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account