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Full Stack Data Scientist Jobs (NOW HIRING)

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 ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst Television

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

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Full Stack Data Scientist information

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$46K

$165K

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

As of May 29, 2026, the average yearly pay for full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Full Stack Data Scientist job?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What are the key skills and qualifications needed to thrive in the Full Stack Data Scientist position, and why are they important?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What kind of projects do Full Stack Data Scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.
More about Full Stack Data Scientist jobs
What cities are hiring for Full Stack Data Scientist jobs? Cities with the most Full Stack Data Scientist job openings:
What are the most commonly searched types of Full Stack Data Scientist jobs? The most popular types of Full Stack Data Scientist jobs are:
What states have the most Full Stack Data Scientist jobs? States with the most job openings for Full Stack Data Scientist jobs include:
What job categories do people searching Full Stack Data Scientist jobs look for? The top searched job categories for Full Stack Data Scientist jobs are:
Full Stack Data Scientist jobs near you
Infographic showing various Full Stack Data Scientist job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 28% Full Time, 68% Part Time, 2% Temporary, and 1% Nights. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-Stack Data Engineer

Ascension Federal Services Inc.

Miami, FL • On-site

Full-time

Posted 19 days ago

Job description

Full-Stack Data Engineer

Location: Miami, FL, 33101

CLEARANCE: TS/SCI
About the Role

We are seeking a highly skilled Full-Stack Data Engineer to join our dynamic team in Miami, FL. The ideal candidate will have a strong background in both backend and frontend data engineering, capable of designing, building, and maintaining scalable data pipelines and user-facing data applications. You will work closely with data scientists, analysts, and product teams to deliver robust data solutions that drive business insights and innovation.

Key Responsibilities
  • Design, develop, and maintain end-to-end data pipelines and ETL processes.
  • Build and optimize scalable data architectures and databases.
  • Develop interactive data visualization tools and dashboards to support data-driven decision making.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Implement data quality checks, monitoring, and troubleshooting to ensure data integrity.
  • Work with cloud platforms and big data technologies to manage large datasets efficiently.
  • Write clean, maintainable, and well-documented code following best practices.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in data engineering or full-stack development with a focus on data.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with frontend technologies like React, Angular, or Vue.js for building data applications.
  • Strong knowledge of SQL and NoSQL databases.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, Kafka).
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to collaborate effectively with diverse teams.
How to Apply

If you are passionate about data engineering and want to make an impact in a growing company, please submit your resume and cover letter to our HR team.

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