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Full Stack Data Engineer Jobs in Gardner, MA (NOW HIRING)

Nvidia

Software Engineer - DPU Platform

Westford, MA · On-site

Strong desire to understand the system software stack, focusing on software/hardware interactions ... If you are a senior data engineer passionate about building largescale, highimpact data platforms ...

Hobbsnews

Senior Software Engineer Datapath

Westford, MA · On-site

$136.50 - $260.50/hr

We help companies connect, protect, analyze, and act on their data and applications wherever they ... Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User ...

Flex

Sr. Mechanical Development Engineer

Littleton, MA

$108K - $142K/yr

... data centers.Together, we're not just advancing technology - we're redefining cooling standards to ... Create and manage detailed CAD models, 2D drawings, GD&T, and tolerance stack-ups to ensure robust ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Gardner, MA

Full Stack Data Engineer information

See Gardner, MA salary details

$47.1K

$142.8K

$201.8K

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

As of Aug 14, 2026, the average yearly pay for full stack data engineer in Gardner, MA is $142,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $167,400.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Full Stack Data Engineer jobs in Gardner, MA?

For Full Stack Data Engineer jobs in Gardner, MA, the most frequently searched job titles are:

What cities near Gardner, MA are hiring for Full Stack Data Engineer jobs?

Cities near Gardner, MA with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you

Software Engineer - DPU Platform

Nvidia Corporation

Westford, MA • On-site

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We offer an outstanding opportunity for a Software Engineer to join our innovative, world-class team. Are you interested in a highly impactful role that contributes to the development of technology powering the most sophisticated data centers worldwide? Using your expertise in embedded platforms, operating systems, and software distribution, you will work with an ambitious, international development team to solve challenges in delivering top-tier platforms.
What you'll be doing:
  • Develop system software components such as processor firmware, boot-loaders, kernel drivers/modules, and user space applications and libraries
  • Collaborate with hardware and product design teams to build software for sophisticated SOC platform designs
  • Support global teams with various customer and internal DPU projects
  • Address complex system-level optimization and resource utilization challenges
  • Engage in all levels of the product development lifecycle, prioritizing clear requirements, software quality, and performance
  • Work within a worldwide matrixed software development team, making a broad impact within our dynamic and technology-centric company

What we need to see:
  • Bachelor's degree in Computer Science/Engineering or equivalent experience
  • 2+ years of experience in developing software for embedded systems, with proficiency in C and Python
  • Strong desire to understand the system software stack, focusing on software/hardware interactions, including platform firmware, device drivers, Linux kernel, and user-space application performance
  • Knowledge of high-performance processor architecture, including CPU and cache coherency concepts, and hardware accelerators
  • Strong engineering skills, including technical investigation, building, testing, and agile software development processes
  • Excellent written and oral communication skills
  • Familiarity with build environment tools such as gcc, git, github, make, bitbake, shell scripts, gerrit, and jenkins

Ways to stand out from the crowd:
  • Experience with ARMv8 microarchitecture, ATF, and/or UEFI software is a strong plus
  • Familiarity with multiple Linux distributions, with the ability to compare and contrast them
  • Knowledge of secure boot flows and/or trusted computing environments

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward-thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large-scale, high-impact data platforms, we'd love to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 140,000 USD - 224,250 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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