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Full Stack Data Engineer Jobs (NOW HIRING)

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site

$138K - $178K/yr

Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned ...

Boeing

Full Stack Data Scientist

Seattle, WA · On-site

The full stack data scientist in this role will partner closely with data scientists, software engineers, data engineers, cybersecurity teams, infrastructure teams, and business stakeholders to ...

New

IBM

Full-Stack Data Engineer (TS/SCI)

Chantilly, VA · On-site

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

IBM

Full-Stack Data Engineer (TS/SCI)

Washington, DC · On-site

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

IBM

Full-Stack Data Engineer (TS/SCI)

Alexandria, VA · On-site

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

IBM

Full-Stack Data Engineer (TS/SCI)

Mclean, VA · On-site

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

IBM

Full-Stack Data Engineer (TS/SCI)

Reston, VA · On-site

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

Factory

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 ...

Whitewater Express Car Wash

Full Stack Engineer

Houston, TX · On-site

$100K - $130K/yr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ...

New

WhiteWater Express Car Wash

Full Stack Engineer

Houston, TX · On-site

$100K - $130K/yr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ...

New

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... Additionally, you will coordinate the work conducted by external analytics developers and process ...

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... Additionally, you will coordinate the work conducted by external analytics developers and process ...

Chord Strategy

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You'll help find reliable and efficient ways to extract data ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... Additionally, you will coordinate the work conducted by external analytics developers and process ...

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All JobsFull Stack Data Engineer Jobs

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 Jul 9, 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 engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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.

What does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 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.
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Full Stack Data Engineer jobs near you
Full-Stack Data Engineer - SOUTHCOM EDA with Security Clearance

Full-Stack Data Engineer - SOUTHCOM EDA with Security Clearance

CELESTAR CORPORATION

Miami, FL • On-site

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Celestar, a B&A Company, is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. ANTICIPATED AWARD: July 2026 ANTICIPATED START: July 2026 PERIOD OF PERFORMANCE: 1 Base Year + 3 Option Years LOCATION: Doral, FL CLEARANCE REQUIREMENT: Active TS/SCI Clearance About Us: Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: • Proposed personnel possess the 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. • Personnel must be proficient in Data Lakes splatforms 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. Required Qualifications and Skills (Must Be Reflected on Your Resume): • A Bachelor's degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering. • 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. • Active TS/SCI Clearance Desired but not Required Certifications: • AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification. Come on board with a company that Values its Employees! Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

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