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

ABB

Senior Project Engineer

Manchester, NH · Remote

$101K - $132K/yr

The work model for the role is: remote #LI-remote This role is contributing to the Electrification ... More about us ABB Smart Power provides energy distribution solutions for data centers, industrial ...

Merchants Fleet

DevOps Manager (Azure)

Hooksett, NH · On-site +1

$52.25 - $71.50/hr

Merchants Fleet Headquarters in Hooksett, NH or Remote (East Coast preferred) What You'll Do As our ... Build CI/CD for Azure Data Factory, Snowflake, Power BI, and database deployments * Advance ...

Mondo

IAM Engineer

Salem, NH · Remote

$70 - $75/hr

IAM Engineer, Remote (East Coast). Start date is ASAP for this 6-month contract position with option to extend. Job Title: IAM Engineer Location: Remote - East Coast Only! Start Date: ASAP (within 2 ...

Mondo

IAM Engineer

Salem, NH · Remote

$70 - $75/hr

IAM Engineer, Remote (East Coast). Start date is ASAP for this 6-month contract position with option to extend. Job Title: IAM Engineer Location: Remote - East Coast Only! Start Date: ASAP (within 2 ...

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Remote Data Engineer information

See Weare, NH salary details

$44.4K

$129.5K

$177.2K

How much do remote data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote data engineer in Weare, NH is $129,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,300.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

Remote Data Engineer jobs near you

Senior Software AI Engineer

Southern New Hampshire University

Manchester, NH • On-site, Remote

$113K - $182K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Southern New Hampshire University rating

8.8

Company rating: 8.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

46th of 623 rated colleges and universities

Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
The opportunity
Southern New Hampshire University (SNHU) is looking for an experienced Senior Python Backend Engineer. You will report directly to the Vice President of AI Engineering and you will engineer the backend systems that power our agentic AI learning platform, empowering human-centered learning for the age of AI.
As a backend and platform engineer with data engineering skills, you'll build the infrastructure that powers our AI learning platform. You'll also ensure our Data Science team has the systems they need to measure the effectiveness and guide personalization.
You will work remotely from any of our approved States #LI-Remote
What you'll do:
  • Agentic backend and data platform**
  • You will design and implement scalable APIs for agent orchestration and learner interaction
  • You will build data pipelines that feed agent evaluation and continuous improvement cycles
  • You will create event streaming infrastructure for real-time learner interaction analysis
  • You will ensure data quality and accessibility for training and evaluating learning agents
  • You will improve data infrastructure for cost and performance in close coordination with Data and ML teams
  • This is a remote position
  • Design and implement rigorous evaluation frameworks to measure agent performance and improve cycles
  • Develop LLM evaluation processes and perform error analysis to identify systemic improvements for agentic learning systems
  • Support instrumentation that makes evaluation relevant (metrics, traces/logs, and analysis workflows)
  • Participate in on-call rotation and incident response for learning platform reliability
  • Contribute to runbooks, postmortems, and reliability improvements as we evolve our operating model

What we're looking for:
  • 5+ years production Python experience at scale
  • AWS expertise (Lambda, DynamoDB, S3, Glue, and Athena)
  • Experience with a relational database such as MySQL, PostgreSQL, or Oracle
  • Experience with agentic AI architectures and evaluation frameworks
  • Data pipeline development (streaming and batch)
  • Infrastructure as Code experience (CDK, Terraform)
  • Production SaaS experience, including participation in on-call / incident response
  • Experience in GitHub Actions or similar CI/CD platforms
  • Experience communicating updates and resolutions to customers and other partners)

AI-Augmented Development:
  • Active user of AI development tools (GitHub Copilot, Cursor, Claude Code, Codex) with personal projects and evolution over the past 12 months
  • Demonstrated examples of AI-augmented productivity gains
  • Enthusiasm for pushing boundaries of AI-assisted engineering

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The annual pay range for this position is $113,908.00 - $182,287.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $125,868.00 - $170,293.00.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get:
  • High-quality, low-deductible medical insurance
  • Low to no-cost dental and vision plans
  • 5 weeks of paid time off (plus almost a dozen paid holidays)
  • Employer-funded retirement
  • Free tuition program
  • Parental leave
  • Mental health and wellbeing resources

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