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Full Stack Data Engineer Jobs (NOW HIRING)

Factory

Data Engineer

San Francisco, CA · On-site

$134.90K - $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 ...

Ciklum

Senior Data Engineer

$108.50K - $147.40K/yr

We are seeking a highly motivated and hands-on Full Stack Data Engineer with strong experience in Microsoft Fabric and modern Azure-based data platforms. The ideal candidate should be capable of ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$172.60K/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 ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

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 ...

AllSTEM Connections

Developer III

Minneapolis, MN · On-site

$199.70K/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 ...

Codvo.ai

Role Summary We are seeking a highly skilled Senior Data Engineer - Full Stack to build and maintain internal tools, automation frameworks, and workflows that enhance the efficiency, reliability, and ...

1 point system

Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

You will act as a "Full Stack" data professional, handling everything from infrastructure ... Azure DevOps) to ensure reproducible environments. * Performance Tuning: Optimize streaming ...

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

As of May 30, 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 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.

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.

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
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? States with the most job openings for Full Stack Data Engineer jobs include:
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 May 2026, with employment types broken down into 85% Full Time, 4% Part Time, 2% Temporary, and 9% Contract. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Full Stack Sr. Data Engineer - Remote - USA

Full Stack Sr. Data Engineer - Remote - USA

Lorven Technologies

Remote

Full-time

Posted 6 days ago

Job description

Need 15 years of profile
Role: Full Stack Sr. Data Engineer
Decision Analytics
Location: Remote - USA
Project Duration: 6 to 9 Months of contract
Job description:
We are seeking an experienced and visionary Senior Full-Stack Data Engineer to lead the architecture, development, and optimization of a next-generation data platform.
This is a critical role for an individual with over 15 years of deep data engineering expertise, capable of driving technical direction, mentoring team members, and delivering high-impact solutions in a fast-paced project environment..
Key Responsibilities:
  • Platform Strategy & Leadership
    • Technical Direction: Define and champion the architectural roadmap and best practices for our end-to-end data pipelines, ensuring scalability, reliability, and security across the platform.
    • Team Mentorship & Project Velocity: Act as a primary technical mentor, guiding a team of engineers, conducting code reviews, and aggressively driving the project timeline to ensure rapid delivery of data products.
    • Stakeholder Collaboration: Partner with Data Scientists, Analysts, and business stakeholders to translate complex requirements into robust, production-ready data solutions.
    • Collaboration with Data Scientists and ML Engineers: Data Accessibility, Support for Model Development, Data Quality Assurance
  • Data Pipeline Development & Management
    • Ingestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, or Flexter, ensuring data quality and integrity.
    • Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster or Talend, focusing on modularity and reusability.
    • Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability.
    • Data Security and Privacy: Data Anonymization, Compliance with Regulations
    • Be well versed with DataOps and DevOps fundamentals
  • Assist and drive the Data Ecosystem Management & Monitoring
    • Open Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools like Upsolver (Talend Open Lakehouse) for efficient schema evolution and data management.
    • Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena.
    • Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issues

Candidate Profile:
  • 15+ Years of hands-on, progressive experience in Data Engineering, Data Architecture, or a closely related Full-Stack Data role
  • Deep conceptual understanding of core data engineering principles, including data modeling (e.g., Dimensional, Data Vault), ETL/ELT patterns, and metadata management
  • Proven track record of building and managing petabyte-scale data infrastructure in a cloud-native environment
  • Insurance industry experience preferred but not mandatory
  • Tools:
    • Cloud Environment: AWS (S3, IAM, VPC, etc.)
    • Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, Git
    • Strong SQL, Pyspark and Python
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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