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Full Stack Data Engineer Jobs (NOW HIRING)

WI · On-site

$80 - $100/hr

As Full Stack Data Engineer, you will collaborate with Business Analysts and the Technical Lead Data to design and build future-proof data platforms and reporting. Do you want to help deliver ...

We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a curiosity to learn and innovate, and a general understanding of the defense intelligence enterprise.

# Full Stack Data Scientist (AI/ML)Technology VenturesReston, USContractor## About the RoleReston ... This role combines deep modeling expertise, strong software engineering skills, and practical MLOps ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Factory is bringing autonomy to software engineering, and they are seeking a Data Engineer to own ... The role involves architecting and evolving the full data stack, designing pipelines, models, and ...

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

You'll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You'll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and ...

Data Engineer V

Oakland, CA · On-site

$172K/yr

Senior Full Stack Data Engineer (Foundry + React) Role Overview We are seeking a Senior Full Stack Data Engineer to lead the development of a mission-critical compliance reporting platform. This is a ...

$80K - $165K/yr

Working alongside full-stack, data, machine learning, and DevOps engineers, you will tackle challenging problems in a highly collaborative environment. As part of a small, high-performing team, your ...

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... The ideal candidate will possess a strong background in both data science and software engineering ...

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... The ideal candidate will possess a strong background in both data science and software engineering ...

Sr.Data Engineer -- PYspark,SQL

Erie, PA · On-site

$111K - $133K/yr

Contract Experience: 10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation ...

Developer III

Minneapolis, MN · On-site

$199K/yr

Senior Full Stack Data Engineer (Foundry + React) Role Overview We are seeking a Senior Full Stack Data Engineer to lead the development of a mission-critical compliance reporting platform. This is a ...

Showing results 41-60

Full Stack Data Engineer information

See salary details

$44.5K

$134.8K

$190.5K

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

As of Sep 8, 2026, the average yearly pay for full stack data engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

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

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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What cities are hiring for Full Stack Data Engineer jobs?

Cities with the most Full Stack Data Engineer job openings:

What states have the most Full Stack Data Engineer jobs?

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What are popular job titles related to Full Stack Data Engineer jobs?

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Infographic showing various Full Stack Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Full-Stack Data Engineer with Security Clearance

Doral, FL • On-site

Prescient Edge
Guided Missile and Space Vehicle Manufacturing • 51 - 200 employees

Other

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


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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