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Financial Data Engineer Remote Jobs in Austin, TX

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

Familiarity with credit or financial data and the regulatory considerations that come with handling ... Remote worker reimbursement of $300/year * Professional development reimbursement Not sure if you ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ... Above market compensation package and merit based financial awards

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... data engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

Senior Data Engineer, Data Platform

Austin, TX ยท On-site +1

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Data Engineer

Austin, TX ยท Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ...

Cloud Data Engineer

Austin, TX ยท Remote

$55.25 - $73.75/hr

Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure ...

Senior Data Engineer, Data Platform

Austin, TX ยท Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Data Engineer, Data Platform

Austin, TX ยท Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Data Engineer

Austin, TX ยท On-site +1

$144K - $187K/yr

In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ... We will never ask an applicant for sensitive or personal financial information during the ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Data Pipelines & Model Integration: Create data pipelines and AI model context protocols ...

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Showing results 1-20

Financial Data Engineer Remote information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

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

As of Jul 29, 2026, the average yearly pay for financial data engineer remote in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 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 Austin, TX? The most popular types of Financial Data Engineer jobs in Austin, TX are:
What are popular job titles related to Financial Data Engineer Remote jobs in Austin, TX? For Financial Data Engineer Remote jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Austin, TX look for? The top searched job categories for Financial Data Engineer Remote jobs in Austin, TX are:
What cities near Austin, TX are hiring for Financial Data Engineer Remote jobs? Cities near Austin, TX with the most Financial Data Engineer Remote job openings:
Infographic showing various Financial Data Engineer Remote job openings in Austin, TX 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 $128,576 per year, or $61.8 per hour.

Data Engineer (Remote Opportunity)

VetsEZ

Austin, TX โ€ข On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that support healthcare operations, analytics, reporting, and data-driven decision-making.
The engineer will work within a collaborative environment to build and optimize data pipelines, integrate data from multiple sources, and support cloud-based data platforms. The ideal candidate is a hands-on data professional with experience developing ETL/ELT processes, managing large-scale datasets, and implementing secure, reliable data solutions that support mission-critical healthcare systems.
The candidate must reside within the continental US.
Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.
  • Integrate data from multiple sources through APIs and other system integration methods.
  • Develop and support data analytics and reporting solutions using Power BI.
  • Ensure data quality, integrity, security, and performance across data platforms.
  • Collaborate with stakeholders to gather requirements and deliver data-driven solutions supporting healthcare and VA initiatives.
  • Manage and track development activities using Agile methodologies and tools such as Jira.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • 4+ years of experience designing, developing, and supporting data engineering solutions in enterprise data and analytics environments.
  • Experience developing data solutions using Python, Spark, SQL, ETL processes, and data warehousing technologies.
  • Experience with GitHub, data integration, and data analytics solutions.
  • Experience supporting data analytics initiatives within enterprise IT environments.
  • Experience supporting Federal government programs and consulting engagements.
  • Proficiency with Microsoft Word, Excel, PowerPoint, and Visio.
  • Strong organizational, analytical, and stakeholder management skills, with the ability to manage multiple priorities in a fast-paced environment.

Additional Qualifications:
  • Experience supporting healthcare organizations, federal agencies, or Veterans Affairs (VA) programs.
  • Familiarity with VA platforms and technologies, including CX Insights, Lighthouse APIs, Medallia, or similar veteran-facing systems.
  • Experience integrating enterprise applications and data sources through APIs and other system integration methods.
  • Knowledge of Azure cloud-native services and modern data platform architectures.
  • Experience using Jira or similar Agile project management and collaboration tools.
  • Ability to obtain and maintain a Public Trust clearance.

Benefits:
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) and Federal Holidays.
  • Corporate Laptop.
  • Professional Development and Training Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.