Talantix.io
dv01•02.03.26
AI SCORE 8.5

Remote Backend Engineer - Financial Data Analytics

$100K–$130K/year
RemoteFinTech
Python•Java•Node.js•API Development•Database Management•Data Structures

About the Role

We are looking for a Remote Backend Engineer to join our innovative team at dv01. In this role, you will play a crucial part in transforming the financial landscape by developing tools that enhance transparency in structured finance. As a Remote Backend Engineer, you will work with a data-first approach, helping our clients make informed decisions based on comprehensive data analysis.

What You'll Do

  • Develop and maintain our Cashflows API product, ensuring it meets the needs of banks, hedge funds, and credit originators.
  • Work with large datasets to extract insights that drive strategic decision-making for responsible lending.
  • Collaborate with cross-functional teams to enhance our data analytics platform, focusing on performance and scalability.
  • Implement modern, open-source technologies to improve our backend systems.
  • Contribute to the continuous improvement of our software development processes and practices.

Requirements

  • 3+ years of experience as a Backend Engineer or similar role.
  • Proficiency in programming languages such as Python, Java, or Node.js.
  • Experience with API development and integration.
  • Strong understanding of database management and data structures.
  • Ability to work independently in a remote environment and manage time effectively.

Nice to Have

  • Familiarity with financial markets and structured finance.
  • Experience with cloud services (AWS, Azure, etc.).
  • Knowledge of data analytics tools and frameworks.

What We Offer

  • Competitive salary and benefits package.
  • Flexible working hours and remote work environment.
  • Opportunities for professional development and growth.
  • Collaborative and inclusive company culture.
  • Impactful work that contributes to financial transparency and stability.
Why This Job8.5 of 10

This Remote Backend Engineer position at dv01 offers a unique opportunity to work in the FinTech industry, focusing on financial data analytics. With a competitive salary and a fully remote work environment, this role is ideal for tech-savvy individuals looking to make a significant impact.

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

Who Will Succeed Here

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Proficient in Python and Java, with hands-on experience in API development and database management, enabling efficient data processing and integration for financial applications.

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Self-motivated and disciplined in a remote work environment, demonstrating strong time management skills and the ability to deliver high-quality code independently while collaborating asynchronously with team members.

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Analytical mindset with a solid understanding of data structures and algorithms, allowing for efficient coding solutions that enhance data analytics capabilities in financial contexts.

Learning Resources

→Python for Everybody Specializationcourse
→Node.js Documentationguide
→Data Structures and Algorithms in Pythonarticle

Career Path

Remote Backend Engineer - Financial Data Analytics(Now)→Lead Backend Engineer or Data Engineer(1-2 years)→Engineering Manager or Solutions Architect(3-5 years)

Market Overview

Python Market Size 2024
$25B
Annual Growth of Python Ecosystem
12.5%
AI Adoption in Financial Analytics
45%
Investment in Financial Data Analytics
+30%
Labour Demand for Backend Engineers
+20%
Avg Salary for Python Backend Engineers
$120K

Skills & Requirements

Required
PythonJavaNode.js
Growing in Demand
Machine LearningCloud Computing (AWS, Azure)Data Visualization (Tableau, Power BI)
Declining
PerlRuby on Rails

Domain Trends

Rise of AI in Financial Data Analytics
AI technologies are increasingly being integrated into financial analytics, with 45% of firms adopting AI solutions to enhance data processing and insights.
Shift to Cloud-Based Solutions
Over 60% of financial institutions are moving their data analytics to cloud platforms, driven by the need for scalability and cost efficiency.
Increased Focus on Data Security
With data breaches on the rise, 70% of financial firms are investing more in security measures for their data analytics platforms.

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