Galaxy06.03.26
AI SCORE 8.5

FP&A Data Engineer - Remote Opportunity

$175K–$250K/year

About the Role

We are seeking an experienced FP&A Data Engineer remote to join our dynamic team at Galaxy. As a leader in digital assets and data center infrastructure, we are committed to driving innovation in finance and artificial intelligence. This role is pivotal in maintaining and developing data pipelines, financial models, and automated reporting that support our various business units, particularly in trading and protocol services.

What You'll Do

  • Architect and manage the FP&A insights data warehouse, establishing a single source of truth for firmwide management reporting, PnL analytics, budgeting, and KPI tracking.
  • Leverage Python and SQL to build complex PnL attribution and KPI generation models that enhance management reporting across multiple cadences.
  • Implement automated reconciliation frameworks to ensure data integrity across FP&A reporting systems, minimizing 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.
  • Strong analytical skills and experience working with large, unstructured datasets.
  • Intellectually curious self-starter, comfortable in ambiguity and a fast-paced environment.
  • Excellent communication skills and attention to detail.

Nice to Have

  • Experience with Databricks, Spark, or Docker.
  • Familiarity with data visualization tools such as PowerBI or Tableau.
  • Knowledge of cryptocurrency and experience in 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 and sick leave.
  • Comprehensive health benefits for employees and dependents.
  • 3% 401(k) company contribution.
  • Generous paid parental leave.
  • Free virtual coaching and counseling sessions.
  • Opportunities to learn about the Crypto industry.
Why This Job8.5 of 10

This FP&A Data Engineer remote position at Galaxy offers a competitive salary and the chance to work at the forefront of the crypto industry, driving innovation in finance and AI.

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

Who Will Succeed Here

Proficient in Python and SQL with a strong background in ETL processes, capable of designing and implementing complex data pipelines that enhance financial reporting accuracy.

Demonstrates a self-motivated and disciplined work style suited for remote environments, ensuring productivity through effective time management and proactive communication with cross-functional teams.

Possesses a deep understanding of data governance principles and data visualization tools (such as Tableau or Power BI), allowing for the creation of impactful dashboards that drive business decisions in a fast-paced technology sector.

Learning Resources

Python for Data Engineeringcourse

Career Path

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

Market Overview

Python Market Size 2024
$50B
Annual Growth
11.2%
AI Adoption in Data Engineering
65%
Investment in Data Tools
+40%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$120K

Skills & Requirements

Required
PythonSQLData Engineering
Growing in Demand
Machine LearningApache SparkCloud Data Warehousing
Declining
R ProgrammingExcel-based Data Analysis

Domain Trends

Rise of Automated ETL Processes
Automated ETL processes are expected to increase by 50% by 2025, driven by the need for faster data integration and reduced manual errors.
Increased Focus on Data Governance
Organizations are investing 30% more in data governance solutions to ensure compliance and data quality, reflecting a growing priority on data security and integrity.
Shift Towards Cloud-based Data Solutions
Cloud data solutions are projected to grow by 45% over the next two years, as companies migrate to more scalable and flexible infrastructure.

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