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Financial Data Engineer Remote Jobs in Phoenix, AZ

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 ...

Arrivia

Principal Software Engineer - Remote

Scottsdale, AZ · On-site +1

$134K - $180K/yr

Data and evaluation culture: Standardize canonical metrics, AI eval frameworks, minimum sample ... People and norms: Mentor staff-level engineers and shape technical-leadership norms across ...

Provn

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$146K - $302K/yr

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Safeguard the privacy, security, and trust of members' sensitive data in partnership with Risk and ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Location Requirement: This position is eligible for remote work within any state Dutch Bros ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

UnitedHealth Group

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Location Requirement: This position is eligible for remote work within any state Dutch Bros ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

Dutch Bros LLC

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Location Requirement: This position is eligible for remote work within any state Dutch Bros ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

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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:

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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.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chandler, AZ • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply