Galaxy26.02.26
AI SCORE 8.5

FP&A Data Engineer - Remote Opportunity at Galaxy

$175K–$250K/year

About the Role

We are seeking a talented FP&A Data Engineer to join our team at Galaxy. This remote opportunity allows you to work at the forefront of finance and technology, contributing to our mission of transforming the digital asset landscape. As an FP&A Data Engineer, you will be responsible for maintaining and developing data pipelines, financial models, and automated reporting across various business units, particularly focusing on trading and protocol services. Your work will directly impact management reporting for individual traders and company executives.

What You'll Do

  • Architect and manage the FP&A insights data warehouse, establishing a single source of truth for firmwide management reporting and PnL analytics.
  • Leverage Python and SQL to build complex PnL attribution and KPI generation models, driving management reporting across multiple cadences (daily, weekly, quarterly).
  • Implement automated reconciliation frameworks to ensure data integrity across FP&A reporting systems, reducing manual processes and operational risk.
  • Collaborate with Technology teams to modernize legacy FP&A models, defining technical requirements and architectural standards.
  • Integrate best practices in data governance, version control, and testing across all FP&A technical development workflows.
  • Provide accessible data for the wider team to support ad-hoc analyses for the business and CFO’s organization.

Requirements

  • 6+ years of progressive data engineering experience with deep expertise in Python and SQL.
  • Experience in developing Python/SQL-based solutions and a solid understanding of core data engineering concepts.
  • Familiarity with various asset classes (FX, futures, options) and their economic impact modeling.
  • Strong analytical skills and experience working with large, unstructured datasets.
  • Intellectually curious self-starter, comfortable in ambiguity and fast-paced environments.
  • Excellent communication skills and attention to detail.

Nice to Have

  • Experience with Databricks, Spark, Docker, or data visualization tools like PowerBI or Tableau.
  • Knowledge of cryptocurrency and experience working at a high-growth startup or tech company.

What We Offer

  • Competitive base salary and discretionary bonus.
  • Flexible Time Off (unlimited paid vacation days).
  • Company-paid holidays (11) and sick leave.
  • Comprehensive health and protective benefits for employees and dependents.
  • 3% 401(k) company contribution.
  • Generous paid parental leave and family planning benefits.
  • Free virtual coaching and counseling sessions through Headspace.
  • Opportunities to learn about the Crypto industry and work with smart, entrepreneurial colleagues.

Join us on our mission to engineer a new economic paradigm as an FP&A Data Engineer in this exciting remote role!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This FP&A Data Engineer role at Galaxy offers a unique opportunity to work remotely in a leading Web3 company, with a competitive salary and excellent benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and SQL with a deep understanding of ETL processes and data governance practices, enabling the ability to build robust data pipelines efficiently.

Strong experience in leveraging Docker for containerization and Spark for large-scale data processing, demonstrating a hands-on approach to modern data engineering challenges.

Analytical mindset with a focus on financial modeling and data visualization, ensuring that complex data sets are transformed into actionable insights for business stakeholders.

Learning Resources

Python for Data Engineeringcourse

Career Path

FP&A Data Engineer - Remote Opportunity(Now)Lead Data Engineer(1-2 years)Director of Data Engineering(3-5 years)

Market Overview

Market Size 2024
$12.5B
Annual Growth
11.2%
AI Adoption in Data Engineering
65%
Investment in Data Solutions
+45%
Labour Demand for Data Engineers
+20%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
PythonSQLData Engineering
Growing in Demand
Machine LearningCloud Data Platforms (e.g., AWS, Azure)Data Quality Management
Declining
HadoopOracle PL/SQL

Domain Trends

Rise of Automated Data Pipelines
Automated ETL processes are expected to reduce manual data handling by 40% by 2025, allowing data engineers to focus on more strategic tasks.
Increased Focus on Data Governance
Organizations are investing 30% more in data governance frameworks to ensure compliance and data integrity, driven by regulations like GDPR.
Integration of AI in Data Engineering
Over 50% of companies are adopting AI-based tools for data processing, enhancing efficiency and accuracy in data pipelines.

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