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Remote Data Engineer Jobs in Nashua, NH (NOW HIRING)

MatrixSpace

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

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 ...

Bright Vision Technologies

AI Data Engineer

Westford, MA · Remote

$100K - $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 ...

Constant Contact

Analytics Engineer

Waltham, MA · On-site +1

As an Analytics Engineer, you will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets, building robust data ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

In this highly visible role, you will partner with Engineering, Product, Data Operations, Client ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

In this highly visible role, you will partner with Engineering, Product, Data Operations, Client ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Nashua, NH

Remote Data Engineer information

See Nashua, NH salary details

$44.8K

$130.5K

$178.6K

How much do remote data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data engineer in Nashua, NH is $130,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $138,400.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Nashua, NH? The most popular types of Data Engineer jobs in Nashua, NH are:
What are popular job titles related to Remote Data Engineer jobs in Nashua, NH? For Remote Data Engineer jobs in Nashua, NH, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Nashua, NH look for? The top searched job categories for Remote Data Engineer jobs in Nashua, NH are:
What cities near Nashua, NH are hiring for Remote Data Engineer jobs? Cities near Nashua, NH with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Nashua, NH as of August 2026, with employment types broken down into 3% As Needed, 83% Full Time, 3% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,532 per year, or $62.8 per hour.

Data Engineer

MatrixSpace

Burlington, MA • Remote

$145K - $180K/yr

Full-time

Re-posted 4 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.