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Financial Data Engineer Remote Jobs in Alabama (NOW HIRING)

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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 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 Alabama? The most popular types of Financial Data Engineer jobs in Alabama are:
What are popular job titles related to Financial Data Engineer Remote jobs in Alabama? For Financial Data Engineer Remote jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Alabama look for? The top searched job categories for Financial Data Engineer Remote jobs in Alabama are:
What cities in Alabama are hiring for Financial Data Engineer Remote jobs? Cities in Alabama with the most Financial Data Engineer Remote job openings:
Infographic showing various Financial Data Engineer Remote job openings in Alabama as of June 2026, with employment types broken down into 76% Full Time, 13% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Engineer (Cleared) - DoD Program - Remote

BizFirst

Leesburg, AL • Remote

$55 - $56/hr

Full-time

Posted 21 days ago


Job description

This is a remote position.

Summary:

· Job Title: Data Engineer (Cleared) - DoD Program

· Clearance: Active Top Secret (TS) clearance required to start; TS/SCI preferred

· Work Location Type: Remote (United States)

· Work Type: Contract; 1099 and Corp-to-Corp.

· Openings: 2



Data Engineer (Cleared) - DoD Program - Remote

BizFirst is assisting our client with recruiting two Data Engineers (Cleared) - Remote. These positions will support mission-critical systems for a program within the United States Department of Defense.

These roles are ideal for engineers with strong backend development fundamentals who can design, build, and maintain scalable data solutions in secure enterprise environments. The work will involve data integration, backend services, data pipelines, system modernization, and collaboration across cloud, DevOps, and application teams.

This is a fully remote opportunity supporting systems tied to national security, defense operations, and mission readiness.


What will you do

As a Data Engineer, you will design, develop, and maintain data pipelines, integrations, and backend services supporting DoD systems. You will focus on data processing, data movement, interoperability, performance, and secure solution delivery while supporting modernization, automated deployment, and cloud migration initiatives.


Responsibilities:

· Design, develop, and maintain data pipelines, integrations, and backend services supporting DoD systems.

· Work with structured and semi-structured data across secure enterprise environments.

· Build and optimize ETL/ELT processes, data workflows, and data movement solutions.

· Collaborate with backend, DevOps, cloud, and application teams to support scalable system architecture.

· Develop APIs, services, and integrations that support data access and system interoperability.

· Troubleshoot, debug, and optimize data processing and backend performance issues.

· Ensure data quality, reliability, security, and compliance with federal standards.

· Participate in full SDLC activities including requirements, design, development, testing, and deployment.

· Support modernization and cloud migration initiatives, including AWS, Azure, or GovCloud environments.

· Contribute to CI/CD pipelines, automation, and deployment processes where applicable.


Requirements:

· U.S. Citizen.

· Active Top Secret (TS) clearance required to start; TS/SCI or SCI eligibility preferred.

· 8+ years of professional experience in software engineering, data engineering, backend development, or related technical roles.

· Bachelors degree required

· Strong backend engineering fundamentals.

· Experience designing and building data pipelines, integrations, or data processing workflows.

· Strong SQL skills and experience working with relational databases such as PostgreSQL, Oracle, MySQL, or similar.

· Programming experience with one or more backend/data engineering languages such as Python, Java, Scala, or similar.

· Experience working with Git-based version control systems.

· Understanding of Agile/Scrum development practices.

· Ability to work independently in a remote, cleared technical environment.


Preferred Qualifications:

· TS/SCI clearance or SCI eligibility.

· Prior experience supporting DoD, federal, or national security programs.

· Experience with cloud platforms such as AWS, Azure, or GovCloud.

· Familiarity with data engineering tools and frameworks such as Spark, Airflow, Kafka, dbt, NiFi, or similar.

· Experience with Docker, Kubernetes, or containerized environments.

· Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or similar.

· Experience developing REST APIs, microservices, or backend services.

· Familiarity with federal cybersecurity frameworks such as NIST, FISMA, or related standards.

· Experience supporting system modernization, data migration, or cloud migration initiatives.


Work Authorization/ Clearance:

· U.S. Citizen; active Top Secret (TS) clearance required to start. TS/SCI or SCI eligibility preferred.


Schedule:

· Monday to Friday


Work Location:

· Remote (United States).