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Data Engineer Jobs in Foley, AL (NOW HIRING)

SAIC

Software Engineer Associate

Pensacola, FL

Data Analytics; Data Science and Analytics; Electrical Engineering; Engineering Technology; Engineering in Operational Research; Engineering in Operations Research; Electrical and Computer ...

SAIC

Software Engineer Associate

Pensacola, FL · On-site

Data Analytics; Data Science and Analytics; Electrical Engineering; Engineering Technology; Engineering in Operational Research; Engineering in Operations Research; Electrical and Computer ...

SAIC

Software Engineer Associate

Pensacola, FL · On-site

Data Analytics; Data Science and Analytics; Electrical Engineering; Engineering Technology; Engineering in Operational Research; Engineering in Operations Research; Electrical and Computer ...

SAIC

Software Engineer Associate

Pensacola, FL

Data Analytics; Data Science and Analytics; Electrical Engineering; Engineering Technology; Engineering in Operational Research; Engineering in Operations Research; Electrical and Computer ...

SAIC

Software Engineer Associate

Pensacola, FL · On-site

Data Analytics; Data Science and Analytics; Electrical Engineering; Engineering Technology; Engineering in Operational Research; Engineering in Operations Research; Electrical and Computer ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Foley, AL

Data Engineer information

See Foley, AL salary details

$38.1K

$111K

$151.9K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Foley, AL is $111,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $117,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Foley, AL?

The most popular types of Data Engineer jobs in Foley, AL are:

What cities near Foley, AL are hiring for Data Engineer jobs?

Cities near Foley, AL with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Foley, AL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,012 per year, or $53.4 per hour.

Senior Data Scientist (Internal Audit Product Engineering)

Navy Federal Credit Union

Pensacola, FL • On-site

Other

Posted 4 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

61st of 150 rated financial services

Job description

Overview
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Navy Federal's Internal Audit team is in the midst of an exciting transformational journey to become a best-in-class Audit function! It is our vision to be a preferred advisor to the business by building and cultivating trust through the consistent execution of high-quality and risk-focused audit and advisory work. We're focused on implementing efficient processes, maximizing our use of technology, integrating data analytics into everything we do, and investing in our biggest asset, our people. If this sounds like the type of team you'd like to be a part of, then we want to learn more about you!
Provide data-driven insights and technology-enabled capabilities that support Internal Audit's strategic objectives and decision-making. Understand Internal Audit's business needs and identify opportunities to improve audit coverage, operational efficiency, and risk insights through analytics, automation, and AI. Design, develop, and maintain audit-focused data products, workflow automation, and AI-enabled capabilities that support assurance and advisory activities across the audit lifecycle. Contribute to product strategy, solution delivery, testing, deployment, and continuous improvement initiatives while promoting strong data governance, data quality, and responsible AI practices.
This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.
Responsibilities
  • Develop, maintain, and enhance data products, data pipelines, analytical models, dashboards, and automation solutions to support Internal Audit analytics and decision-making
  • Design, build, and enhance agentic AI and workflow automation solutions using AI technologies to drive efficiencies in audit processes
  • Partner with auditors, business stakeholders, and technology teams to understand requirements and translate business challenges into scalable analytical solutions
  • Support automated control testing, population-based analytics, continuous monitoring, and audit automation initiatives
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives
  • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

Qualifications
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications
  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
  • Experience with Alteryx, Databricks, Azure Data Lake, Microsoft Copilot Studio, Power Automate, Power Apps and Azure AI Foundry
  • Experience using Python and related data science libraries such as Pandas, NumPy, PySpark, Scikit-learn, or similar frameworks for data analysis, automation, and model development
  • Experience building dashboards and reporting solutions using Power BI or similar visualization tools
  • Experience managing the end-to-end product and solution lifecycle, including requirements gathering, solution design, testing, user acceptance testing (UAT), deployment, and ongoing support
  • Knowledge of data governance, data quality controls, data lineage, and data management best practices
  • Experience working within audit, risk management, compliance or financial services
  • Experience working in Agile product development environments and collaborating with cross-functional teams
  • Demonstrated curiosity, innovation mindset, and ability to identify opportunities to automate manual processes

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526
  • 141 Security Drive, Winchester, VA 22602

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
FORTUNE 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace - America's Top Most Loved Workplaces 2025
2025 PEOPLE Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
Forbes 2026 America's Best Large Employers
Forbes 2025 America's Best Employers for New Grads
Forbes 2025 America's Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2026 Handshake Early Talent Award
Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026
From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at or by calling 1-. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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