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Financial Data Engineer Remote Jobs in Dothan, AL

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive ... Our growth means exciting career opportunities for talented professionals in engineering, software ...

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive ... Our growth means exciting career opportunities for talented professionals in engineering, software ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Financial Data Engineer Remote information

See Dothan, AL salary details

$40.5K

$117.9K

$161.4K

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

As of May 29, 2026, the average yearly pay for financial data engineer remote in Dothan, AL is $117,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Financial Data Engineer Remote jobs in Dothan, AL look for? The top searched job categories for Financial Data Engineer Remote jobs in Dothan, AL are:
Infographic showing various Financial Data Engineer Remote job openings in Dothan, AL as of May 2026, with employment types broken down into 3% As Needed, 88% Full Time, 3% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $117,923 per year, or $56.7 per hour.
Remote equity research analyst - ai trainer ($50-$60 per hour)

Remote equity research analyst - ai trainer ($50-$60 per hour)

Data Annotation

Daleville, AL โ€ข Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Annotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles โ€” whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area โ€“ teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up โ€“ and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or Ph D (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or Ph D is is preferred but not required Note: Payment is made via Pay Pal.

We will never ask for any money from you. Pay Pal will handleany currency conversions from USD. This is an independent contract position.