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Financial Data Engineer Remote Jobs in Phoenix, AZ

YO AI Labs

AI Finance Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

... Finance, Sales, Operations, and other business functions. * Contribute to Axon's formal data ... Mentor junior and mid-level engineers through thorough code reviews, pairing on complex problems ...

Quest Global

Data Engineer / BI Developer

Phoenix, AZ · On-site +1

$70K - $80K/yr

Build and maintain the data pipeline supporting traceability and status reporting * Develop ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Cisco

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Inherent Technologies

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of support in data Analytics General Description Experience with Data Lake, data warehouse ETL ...

Munters

Electrical & Controls Engineer

Phoenix, AZ · On-site +1

$75K - $90K/yr

Compensation Range: $75,000 - $90,000 Electrical & Controls Engineer Remote - VA, TX, TN, WV, SD ... HVAC and data center cooling solutions. This is an excellent opportunity for an experienced ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Remote JobsFinancial Data Engineer Remote Jobs in Phoenix, AZ

Financial Data Engineer Remote information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do financial data engineer remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for financial data engineer remote in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What does a financial data engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the key skills and qualifications needed to thrive as a financial data engineer in a remote role?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote financial data engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What are the most commonly searched types of Financial Data Engineer jobs in Phoenix, AZ?

The most popular types of Financial Data Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Financial Data Engineer Remote jobs in Phoenix, AZ?

For Financial Data Engineer Remote jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Financial Data Engineer Remote jobs in Phoenix, AZ look for?

The top searched job categories for Financial Data Engineer Remote jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Financial Data Engineer Remote jobs?

Cities near Phoenix, AZ with the most Financial Data Engineer Remote job openings:

Financial Data Engineer Remote jobs near you
Infographic showing various Financial Data Engineer Remote job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

AI Finance Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 27 days ago

Job description

Job Title: AI Finance Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities

  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills

  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications

  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.