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Full Stack Data Analyst Developer Jobs (NOW HIRING)

SOSi

Full Stack Data Engineer

Doral, FL · On-site

... analytical capabilities. Essential Job Duties: * Develop and maintain the data pipeline ... Developer Certification. Additional Information Work Environment * Normal office conditions.

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Strong SQL Developer * Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst Television

Full-Stack Data Engineer

Troy, MI · On-site

Strong SQL Developer * Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

CGI Inc.

Full Stack Data Scientist

Washington, DC · On-site

Full Stack Data Scientist Category: Software Development/ Engineering Main location: United States ... Data Analysis * Data Engineering * Data Engineering * Data Science * Problem Solving * Python * SQL ...

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site

$138K - $178K/yr

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. Responsibilities What you'll be able to do: Full Stack Data Engineer - positions offered by ...

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How much do full stack data analyst developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for full stack data analyst developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack Data Analyst Developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What is a Full Stack Data Analyst Developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a Full Stack Data Analyst Developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.
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Full Stack Data Analyst Developer jobs near you
Infographic showing various Full Stack Data Analyst Developer job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.

Full Stack Data Engineer

SOSi

Doral, FL • On-site

Full-time

Posted 12 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
**This position is contingent upon contract award**
SOSi is seeking a Full-Stack Data Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • Develop and maintain the data pipeline infrastructure, ensuring scalable ingestion, transformation, and integration of structured and unstructured datasets within the cloud-based CIP platform.
  • Optimize data storage strategies, implementing efficient query execution, indexing, and retrieval techniques for high-volume mission datasets.
  • Integrate APIs for secure data sharing across operational environments, ensuring controlled access and compliance with security frameworks.
  • Submit the Data Pipeline Optimization Report, detailing improvements in ingestion speed, storage efficiency, and API integrations.
  • Integrate all ingestion and transformation workflows with the Identity and Access Management (IAM) framework provisioned under other work orders; and coordinate with the work order team to define required roles, enforce RBAC policies, and maintain compliance with authentication and access standards across IL environments.

Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering.
  • Knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
  • Proficient in Data Lakes platforms 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
  • 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.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.

Additional Information
Work Environment
  • Normal office conditions.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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