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Full Stack Data Analyst Jobs (NOW HIRING)

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI based GIS platforms, Unity Catalog, and cloud-based databases. * Implementing ...

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Troy, MI

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Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

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Hearst Magazines

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Full-Stack Data Engineer

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Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

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Hearst

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Hearst Television

Full-Stack Data Engineer

Troy, MI · On-site

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Hearst Transportation

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

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Full Stack Data Analyst information

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How much do full stack data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full stack data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.
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What job categories do people searching Full Stack Data Analyst jobs look for?

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Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-Stack Data Engineer

Prescient Edge

Doral, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Job Title
Full-Stack Data Engineer
Location
Doral, FL 33122 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
Security Clearance Required
TS/SCI
Job Description
Prescient Edge is seeking a Full-Stack Data Engineer to support a Federal Government client.
Please note that the availability of this position is contingent upon contract award.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule.
  • Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Description:
  • Proposed personnel possess the knowledge and capability to develop, maintain, and optimize an outward-facing data catalog that integrates geospatial and research data layers.
  • Optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
  • Must be proficient in full-stack development, database architecture, and API integration to enable seamless search, filtering, and rendering of structured research products.
  • Must be proficient in Data Lakes splat forms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud based data engineering.
  • Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.
  • Shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with a Data Catalog.
  • Shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform.
  • Shall implement and manage data governance workflows, ensuring integration with Open Lineage, Unity Catalog, and GIS metadata standards.
  • Shall submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements.
  • Shall develop and maintain the data pipeline infrastructure, ensuring scalable ingestion, transformation, and integration of structured and unstructured datasets within the cloud-based CIP platform.
  • Shall optimize data storage strategies, implementing efficient query execution, indexing, and retrieval techniques for high-volume mission datasets.
  • Shall integrate APIs for secure data sharing across operational environments, ensuring controlled access and compliance with security frameworks.
  • Shall submit the Data Pipeline Optimization Report, detailing improvements in ingestion speed, storage efficiency, and API integrations.

Job Requirements
Experience:
  • Must have demonstrated experience in developing interactive web-based data portals, implementing API driven data exchange, and integrating geospatial data layers into web applications.
  • Must have experience working with Databricks, ESRI ArcGIS Feature Services, Open Lineage, and metadata management solutions is required.
  • Must have demonstrated experience in: Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI based GIS platforms, Unity Catalog, and cloud-based databases.
  • Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
  • Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
  • Desirable but not required certifications include Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty, or ESRI Web GIS Developer Certification.

Education:
  • Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack development, and metadata-driven data cataloging.

Security clearance:
  • TS/SCI

Location:
  • Doral, Florida. (USSOUTHCOM Headquarters)

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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