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Remote Fintech Software Engineer Jobs in Melbourne, FL

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... software development lifecycle (SDLC) * Support the SDLC process by participating in data ...

This role could be remote within the United States or hybrid within one of our US Hub offices. Your ... Prepare PFDs and P&IDs under supervision of process engineer. * Layout complex piping systems and ...

... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ... Able to use computer software including Visual (or AGI32) and Microsoft Office. * Ability to work ...

... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ... Able to use computer software including Visual (or AGI32) and Microsoft Office. * Ability to work ...

... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ... Able to use computer software including Visual (or AGI32) and Microsoft Office. * Ability to work ...

... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ... Able to use computer software including Visual (or AGI32) and Microsoft Office. * Ability to work ...

Showing results 21-30

Remote Fintech Software Engineer information

See Melbourne, FL salary details

$58.9K

$136.7K

$190.5K

How much do remote fintech software engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote fintech software engineer in Melbourne, FL is $136,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $160,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote fintech software engineer, and why are they important?

To thrive as a Remote Fintech Software Engineer, you need strong programming skills (often in languages like Python, Java, or C#), a solid understanding of financial systems, and a relevant degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), experience with APIs, and knowledge of security protocols or certifications like AWS Certified Developer or Certified Information Systems Security Professional (CISSP) are highly valued. Exceptional problem-solving, self-motivation, and effective virtual communication are critical soft skills for remote collaboration and complex project execution. These abilities ensure you can build secure, scalable financial solutions and work productively across distributed teams in a highly regulated industry.

What is a remote fintech software engineer?

A Remote Fintech Software Engineer is a software developer who works from a location outside of a traditional office, often from home, and specializes in building, maintaining, or enhancing financial technology (fintech) applications. These professionals work on products such as online banking platforms, payment systems, investment tools, and blockchain solutions. Their role typically involves coding, testing, and collaborating with cross-functional teams to create secure, scalable, and user-friendly financial software. Working remotely allows them to collaborate with global teams and clients using digital communication and project management tools.

How do remote fintech software engineers typically collaborate with cross-functional teams given the distributed work environment?

Remote Fintech Software Engineers frequently work with product managers, UX/UI designers, and QA specialists through virtual collaboration platforms like Slack, Jira, and Zoom. Effective communication and clear documentation are essential to ensure alignment on project goals, compliance requirements, and tight delivery timelines. Regular stand-up meetings, code reviews, and asynchronous updates help maintain productivity and foster team cohesion, despite working across different time zones. Adapting to this remote collaboration style is important for delivering secure, scalable fintech solutions.
What are popular job titles related to Remote Fintech Software Engineer jobs in Melbourne, FL? For Remote Fintech Software Engineer jobs in Melbourne, FL, the most frequently searched job titles are:
What job categories do people searching Remote Fintech Software Engineer jobs in Melbourne, FL look for? The top searched job categories for Remote Fintech Software Engineer jobs in Melbourne, FL are:
What cities near Melbourne, FL are hiring for Remote Fintech Software Engineer jobs? Cities near Melbourne, FL with the most Remote Fintech Software Engineer job openings:
Infographic showing various Remote Fintech Software Engineer job openings in Melbourne, FL as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 35% Physical, 4% Hybrid, and 61% Remote job distribution, with an average salary of $136,743 per year, or $65.7 per hour.

Principal, Data Engineer

L3HHCM20

Melbourne, FL • On-site, Remote

$153K - $284K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago


Job description

Job Title: Principal, Data Engineer 

Job Code: 41066

Job Location: Melbourne, FL; or Remote Opportunity 

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions within Palantir Foundry.

This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
  • 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
  • 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • 5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools

Preferred Additional Skills:

  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL 
  • Experience architecting Palantir Foundry platforms to enable Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration 
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst  
  • Demonstrated understanding of how Foundry's Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
  • Familiarity with SDLC processes and architecture review or data governance board processes
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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