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Full Stack Data Engineer Jobs (NOW HIRING)

Florimond Desprez

WI · On-site

$90 - $120/hr

You have at least 3 years of experience as Data Engineer, Full Stack Developer or a related role. * You have a proven interest or experience in a Data Engineer role, preferably in an enterprise ...

New

Comcast Corp

Senior Full Stack Data Engineer

West Chester, PA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Ensure application performance, security, and maintainability across the full technology stack Data Engineering & Integration * Develop and manage data pipelines to extract, transform, and integrate ...

Blueface Ltd

PA · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Seeking a highly skilled Full Stack Developer with a strong data engineering background to design and deliver end‑to‑end solutions that drive data visibility, automation, and decision‑making.

United Beet Seeds BV

WI · On-site

$70.64 - $94.18/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 ...

New

SysMind Tech

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal ...

IBM

Full-Stack Data Engineer (TS/SCI)

Hampton, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

IBM

Full-Stack Data Engineer (TS/SCI)

Hampton, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

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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 Aug 19, 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.

More about Full Stack Data Engineer jobs

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Cities with the most Full Stack Data Engineer job openings:

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What job categories do people searching Full Stack Data Engineer jobs look for?

The top searched job categories for Full Stack Data Engineer jobs are:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer 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 $134,771 per year, or $64.8 per hour.

Full Stack Data Engineer

Florimond Desprez

WI • On-site

$90 - $120/hr

Other

Posted yesterday

New

Job description

Groupe Florimond Desprez (GFD) breeds varieties and produces seeds to meet the needs of arable crop farmers, the agro-industrial sectors and consumers, while actively supporting the agro-ecological transition. The group mainly works with species intended for human consumption and is a world leader in sugar beet seeds, a leading European breeder of straw cereal and a major player in the European seed potato market. Florimond Desprez is an independent family-owned company founded in 1830 that operates in 65 countries, devotes 15% of its sales to research and employs 1200 persons. Groupe Florimond Desprez is headquartered in Cappelle-en-Pévèle, France.

The GFD IT team provides services and support to all the companies in the group, including UBS, headquartered in Tienen, Belgium.

As FullStack Data Engineer, you will collaborate with BusinessAnalysts and the TechnicalLeadData to design and build future proof dataplatforms and reporting. You will be based on our site in Tienen, Belgium.

Data pipeline development
  • Designing, implementing and managing data pipelines to process large volumes of data from different sources.
  • Automating data ingestion, transformation and storage workflows.
  • Ensuring high availability and scalability of data pipelines to meet evolving business requirements.
Data integration and ETL
  • Developing and maintaining Extract, Transform, Load (ETL) processes for integration data from sources like flat files, databases and APIs.
  • Getting familiar with tools like BOOMI to support the data sourcing and transformation.
  • Maintaining high data quality standards, ensuring the accuracy, completeness and consistency of data across all systems.
Database design and management
  • Collaborating with the TechnicalLeadData and BusinessAnalysts to design data models that enable advanced analytical and machine learning applications.
  • Optimizing data structures for performance, scalability, ensuring efficient querying and reporting.
  • Developing efficient database queries, indexing strategies and ensuring data integrity.
Monitoring and optimization
  • Monitoring the pipelines and infrastructure for performance, issues and bottlenecks.
  • Continuously optimizing processes and infrastructure to improve performance, reduce costs and enhance scalability.
Collaboration and documentation
  • Working closely with cross‑functional teams (Business Analysts, TechnicalLeadData and applications and business product owners) to develop end‑to‑end data solutions.
  • Participating in agile ceremonies such as sprint planning, daily stand‑up and retrospectives.
  • Documenting data architecture, pipelines and workflows to ensure transparency and maintainability.
Testing and validation
  • Supporting UAT (User Acceptance Testing) to confirm solutions and reporting meet requirements.
  • Documenting and resolving discrepancies found during testing.
Support and aftercare
  • Analyzing tickets raised through ServiceNow and providing personalized support and guidance to users.
  • Managing proper communication with the users and assuring them in a polite and calm way.
  • Resolving tickets, taking implemented SLA's into account.
  • Gathering feedback post‑implementation to identify areas for improvement.
Continuous improvement
  • Proactively identifying inefficiencies in reporting and implementing effective solutions.
  • Keeping up with industry trends and emerging technologies to suggest innovative practices.
  • Analyzing current reports and processes to identify inefficiencies.
PROFILE & REQUIREMENTS
  • You have a Bachelor's or Master's degree in Computer Science, Engineering, Data science or related fields.
  • You have at least 3 years of experience as Data Engineer, Full Stack Developer or a related role.
  • You have a proven interest or experience in a Data Engineer role, preferably in an enterprise environment.
  • You're proficient in programming languages such as Python, R, SQL or Mendix.
  • You have a strong understanding of databases (SQL Server, Oracle, Postgress, MongoDB).
  • You have experience in or are willing to learn configuration of data transformation through BOOMI.
  • You have proven experience with Azure: Azure Data Factory, Data Lake Storage Gen2, Fabric,…
  • You have experience with data processing frameworks (e.g. Airflow), version control systems (e.g. GIT), big data tools and cloud technologies, and Agile/Scrum environments, including sprint grooming and planning.
  • You have knowledge of data modelling and ETL processes.
  • You have excellent communication and interpersonal skills, with the ability to explain technical concepts clearly (in Dutch, English, and French).
  • You're familiar with ITIL principles and best practices, particularly incident management and service desk operations.
  • You have excellent problem-solving and troubleshooting skills, with the ability to analyze complex issues and implement effective solutions.
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