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Financial Data Engineer Remote Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Data Engineer

Tempe, AZ ยท On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... financial, and/or other benefits, dependent on the position offered. Learn more about Viasat ...

Manufacturing Engineer - Remote

Phoenix, AZ ยท Remote

$60K - $65K/yr

Coordinate with project stakeholders to ensure all data is captured and ready to present to chief ... Knowledge of Engineering Mechanics & Strength of Materials * Strong Analytical skills * Strong ...

Manufacturing Engineer - Remote

Phoenix, AZ ยท On-site +1

$60K - $65K/yr

Coordinate with project stakeholders to ensure all data is captured and ready to present to chief ... Knowledge of Engineering Mechanics & Strength of Materials * Strong Analytical skills * Strong ...

Manufacturing Engineer - Remote

Phoenix, AZ ยท Remote

$60K - $65K/yr

Coordinate with project stakeholders to ensure all data is captured and ready to present to chief ... Knowledge of Engineering Mechanics & Strength of Materials * Strong Analytical skills * Strong ...

Senior Java Engineer (Remote)

Phoenix, AZ ยท Remote

$119K - $157K/yr

... Finance space to ensure our mission critical systems remain stable, are able to scale as our ... Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ...

Senior Java Engineer (Remote)

Phoenix, AZ ยท On-site +1

$119K - $157K/yr

... Finance space to ensure our mission critical systems remain stable, are able to scale as our ... Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ...

Senior Java Engineer (Remote)

Phoenix, AZ ยท Remote

$119K - $157K/yr

... Finance space to ensure our mission critical systems remain stable, are able to scale as our ... Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ ยท 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 ...

Senior Agentic Software Engineer (Remote)

Scottsdale, AZ ยท Remote

$122K - $161K/yr

About the job Senior Agentic Software Engineer Arrivia Remote (US) Full-time Paste this url into ... data, and platform services. This role is fully remote within the US, on a fast-paced, highly ...

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Financial Data Engineer Remote information

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 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 engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

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 most commonly searched types of Financial Data Engineer jobs in Arizona? The most popular types of Financial Data Engineer jobs in Arizona are:
What are popular job titles related to Financial Data Engineer Remote jobs in Arizona? For Financial Data Engineer Remote jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Arizona look for? The top searched job categories for Financial Data Engineer Remote jobs in Arizona are:
What cities in Arizona are hiring for Financial Data Engineer Remote jobs? Cities in Arizona with the most Financial Data Engineer Remote job openings:
Infographic showing various Financial Data Engineer Remote job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

XTG

Phoenix, AZ โ€ข On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTGโ€™s data platform. This role plays a key part in supporting the organizationโ€™s transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries.ย  XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham

ACCOUNTABILITIES:ย 

Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.

Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.

ย 

EDUCATION & EXPERIENCE

Bachelorโ€™s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.

4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.

Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.

Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.

SKILLS & CERTIFICATIONS

  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members:ย 

  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position.ย  The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs.ย  Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities.ย 

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. โ€˜Green Card Holderโ€™), Political Asylee, or Refugee.

Visa sponsorship is not available for this role.ย  Only candidates authorized to work in the United States will be considered.ย 

ย XTG isย an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.