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Data Engineer Jobs in Seabrook, NH (NOW HIRING)

MatrixSpace

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

We're looking for a hands-on Data Engineer to design, build, and optimize the data infrastructure that powers our internal engineering workflows. You'll build scalable pipelines that ingest and ...

BRUNT Workwear

Data Engineer

North Reading, MA · On-site

$119K - $143K/yr

We are seeking a hands-on Data Engineer to serve as our principal engineering resource, bringing the discipline, documentation rigor, and modern tooling needed to harden and scale our data ...

Stellar IT Group

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH) Duration: Long Term Contract Position Summary We are seeking a highly motivated ...

Bright Vision Technologies

AI Data Engineer

Andover, MA · Remote

$150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Bespoke Labs

Data Engineer

Derry, NH · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Liberty Mutual

Senior Data Engineer

Portsmouth, NH · Hybrid

$108K - $146K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

SubCom

IT Data Science Engineer (6100)

Newington, NH

$116K - $140K/yr

Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every ...

SubCom

IT Data Science Engineer (6100)

Newington, NH · On-site

$116K - $140K/yr

Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every ...

SubCom

IT Data Science Engineer (6100)

Newington, NH · On-site

$118K - $141K/yr

Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Seabrook, NH

Data Engineer information

See Seabrook, NH salary details

$45.7K

$133.2K

$182.3K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Seabrook, NH is $133,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $141,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What cities near Seabrook, NH are hiring for Data Engineer jobs?

Cities near Seabrook, NH with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Seabrook, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,237 per year, or $64.1 per hour.

Data Engineer

MatrixSpace

Burlington, MA • Remote

$145K - $180K/yr

Full-time

Re-posted 16 days ago

Job description

Help build the data infrastructure that enables MatrixSpace to continuously learn from real-world radar deployments.

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.

We're looking for a hands-on Data Engineer to design, build, and optimize the data infrastructure that powers our internal engineering workflows. You'll build scalable pipelines that ingest and organize data collected from MatrixSpace systems deployed in the field, enabling our engineering teams to improve AI algorithms, develop new sensing capabilities, and build the next generation of our platform. You'll work closely with engineering, product, and infrastructure teams to ensure data is accurate, performant, and accessible.


If you're analytical, detail-oriented, and passionate about building robust data systems at scale, we'd love to talk.

What You'll Do

  • Design the internal data platform that enables engineering teams to ingest, organize, and analyze data collected from deployed radar systems.
  • Build the internal data platform that enables engineering teams to ingest, organize, and learn from data collected by MatrixSpace systems in the field.
  • Build data ingestion, transformation, enrichment, aggregation, and publishing workflows.
  • Develop solutions across relational, NoSQL, in-memory, time-series, warehouse, and data lake technologies.
  • Optimize PostgreSQL databases through schema design, indexing, partitioning, and query tuning.
  • Implement advanced analytics, aggregation, and statistical processing across large datasets.
  • Monitor pipeline reliability, performance, data quality, and system observability.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

This is NOT a fully remote position!

  • 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role.
  • Strong programming experience in Python, C++, Golang, or similar languages.
  • Experience building and operating real-time and batch data pipelines in production environments.
  • Deep expertise with PostgreSQL, including performance tuning, indexing, partitioning, and schema design.
  • Experience with NoSQL, in-memory databases, and large-scale data processing systems.
  • Strong communication skills and the ability to collaborate across engineering, analytics, product, and infrastructure teams.

Someone Who Will Thrive in This Role

  • Thinks like a platform engineer and enjoys building tools that make other engineers more effective.
  • Likes designing systems that will grow with the company over many years rather than simply solving today's problem.
  • Enjoys working behind the scenes to enable AI, autonomy, and engineering teams.
  • Takes ownership of systems from design through production operations.
  • Values data quality, reliability, and observability.
  • Collaborates effectively with both technical and non-technical stakeholders.
  • Balances long-term platform thinking with practical delivery needs.
  • Enjoys exploring databases, distributed systems, analytics, or data-intensive side projects.

Bonus Points

  • Experience with Kafka, Redpanda, RabbitMQ, Pulsar, or other streaming technologies.
  • Experience with AWS or cloud-based data platforms.
  • Experience with S3, Parquet, ORC, Delta Lake, or modern data lake architectures.
  • Experience with orchestration tools such as Airflow, Dagster, or Prefect.
  • Knowledge of distributed systems, caching, replication, sharding, and high-availability database design.

At MatrixSpace, Data Engineering is where critical information becomes actionable insight. This isn't a role focused on maintaining legacy systems or reacting to operational issues. Instead, you'll help lay the technical foundation that allows MatrixSpace to collect, organize, and learn from massive amounts of sensor data for years to come.