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

Watts

Senior Data Engineer

Andover, MA · On-site +1

$107K - $145K/yr

The Senior Data Engineer will lead the design of scalable data pipelines and data ingestion ... This role may be based in North Andover, MA (hybrid), Dallas, TX, or remote within the United ...

Mastech Digital

Data Modeler

Merrimack, NH · Remote

$60 - $65/hr

Merrimack, NH (Hybrid - 2 weeks in office per month, rest remote. Alternate weeks) Salary: $120,000 ... Data Engineer/Architect. Need a full time Data Modeler. The Expertise You Have: - Strong Data ...

General Motors

Senior AI/ML Engineer

Concord, NH · On-site +1

$105K - $144K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

Advanced Bio-Logic Solutions Corp

Data Analyst

Concord, NH · Remote

$43 - $47/hr

Remote - Concord, NH Employment Type: Contingent Worker (Contract, W2) Contract Length: 6 months ... Bachelor Degree & 2+ years of experience (Engineering, Operations, OR Scientific) This posting is ...

Quora

AI Automation Engineer -Remote

Derry, NH · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Manchester, NH · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Nashua, NH · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Concord, NH · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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Showing results 1-20

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Manchester, NH

Remote Data Engineer information

See Manchester, NH salary details

$44.3K

$129.2K

$176.7K

How much do remote data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data engineer in Manchester, NH is $129,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,900.00 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Manchester, NH? The most popular types of Data Engineer jobs in Manchester, NH are:
What job categories do people searching Remote Data Engineer jobs in Manchester, NH look for? The top searched job categories for Remote Data Engineer jobs in Manchester, NH are:
What cities near Manchester, NH are hiring for Remote Data Engineer jobs? Cities near Manchester, NH with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Manchester, NH as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,155 per year, or $62.1 per hour.
Senior Data Engineer

Senior Data Engineer

Watts

Andover, MA • On-site, Remote

$107K - $145K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 2 days ago

Job description

We're Watts. Together, we're reimagining the future of water.
We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we support -- it's to provide safe, clean water for the world, and to protect our planet's most valuable resource.
What we do:
For 150 years, Watts has built best-in-class products that are trusted by customers in residential and commercial settings across the world. We are at the forefront of innovation, working with cutting-edge technology to provide smart and connected, sustainable water solutions for the future. Watts is a leading brand with a quality reputation - and we have a dynamic future ahead.
Scope of Position
This highly skilled individual, as part of the Information Technology / Global Data & Analytics team, will be responsible for designing, developing, and optimizing Watts' enterprise data engineering ecosystem. The Senior Data Engineer will lead the design of scalable data pipelines and data ingestion strategies that support analytics, reporting, and artificial intelligence across Watts' global business units.
This role will help drive the next generation of Watts' data platform by leveraging technologies such as Azure Fabric, Snowflake, Databricks, and the SAP ecosystem to enable advanced analytics, data governance, and scalable enterprise data solutions.
This position does not have direct reports, but will provide technical mentorship and guidance to junior and mid-level data engineers through code reviews, design reviews, and technical leadership.
This position reports to the Senior Data Architect. This role may be based in North Andover, MA (hybrid), Dallas, TX, or remote within the United States.
Primary Job Duties and Responsibilities
  • Lead the design and architecture of large-scale data pipelines to support analytics, reporting, and AI/ML workloads.
  • Own end-to-end data ingestion frameworks, ensuring scalability, reliability, and fault tolerance across batch and streaming pipelines.
  • Define and enforce data engineering best practices including coding standards, version control, CI/CD processes, data modeling standards, and DevOps automation.
  • Develop complex ETL/ELT solutions leveraging platforms such as Databricks, ADF, LakeFlow, Informatica, Fivetran, or custom Spark-based pipelines.
  • Collaborate with enterprise architects and solution architects to align data platform strategies with business and technical roadmaps.
  • Implement robust data quality, observability, and governance frameworks including validation rules, metadata management, lineage tracking, and monitoring.
  • Integrate complex and diverse data sources including ERP systems (SAP S/4HANA), APIs, cloud systems, on-prem databases, streaming sources, and third-party tools.
  • Provide technical mentorship and guidance to junior and mid-level data engineers, including conducting code reviews and design reviews.
  • Troubleshoot and resolve production issues by performing root cause analysis and implementing long-term fixes and preventative measures.
  • Drive automation and orchestration strategies using tools such as Airflow, ADF, LakeFlow, or Databricks Workflows.
  • Support collaboration with global teams across multiple regions and time zones to enable scalable enterprise data solutions.
  • Assume responsibility for other projects and duties as assigned by the Senior Data Architect or Company management.
  • Responsibility directly tied to Watts Values (Integrity, Accountability, Continuous Improvement, Transparency).
  • Travel Requirements: Approximately 20% travel may be required.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field (in absence of degree, relevant work experience may be considered).
  • 10+ years of experience in data engineering, data lakehouse architecture, streaming data architecture, and enterprise data solutions design.
  • Expert-level knowledge of Azure platform services, including Azure Fabric and related data tools.
  • Strong hands-on experience designing and implementing data engineering solutions in Azure, Snowflake, and/or Databricks.
  • Experience integrating SAP data (S/4HANA or BW) with modern cloud data platforms.
  • Deep understanding of ETL/ELT processes, data modeling methodologies (Kimball/Inmon), data quality frameworks, and metadata management.
  • Experience providing technical mentorship and conducting code and design reviews for data engineering deliverables.
  • Understanding of and adherence to applicable laws, codes, policies, regulations, and safety practices and procedures, as applicable.
  • Must successfully establish employment eligibility and satisfactorily complete background checks and required pre-employment testing as a condition of employment.

Preferred Qualifications
  • Familiarity with API-driven integrations and data virtualization concepts.
  • Microsoft Azure architecture certification or other relevant certification in the cloud data domain is a plus.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Strong problem-solving skills and the ability to navigate complex technical ecosystems.

General Applicable Company Competencies
  • Commitment to Watts' values of integrity, accountability, continuous improvement and innovation, and transparency.
  • Punctuality and dependability.
  • Ability to be flexible and adapt to changing work priorities and stressful conditions.
  • Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.
  • Maintain productive and collaborative relationships with other Watts employees.
  • Adherence to Watts' seven cultural beliefs: Growth Mindset, Customer-Focused Innovation, Constant Communication, Clear Goals, Collaborate Globally, Be Inclusive, and Take Action.

Working Conditions
While performing the job duties, you will be working onsite or remotely in an office environment. You may be required to occasionally travel to and work in the Watts office location for meetings, trainings, or as otherwise required by Company management.
Physical Requirements
  • Ability to remain seated at a desk or workstation for extended periods.
  • Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods.
  • Ability to physically move around the office, organize or transport files, packages, or other office-related materials.
  • Ability to read documents, use a computer, and perform data entry tasks.
  • Ability to communicate clearly with management and coworkers, particularly in meetings or phone calls.
  • Ability to operate standard office equipment such as computers, printers, phones, and copiers.
  • Ability to occasionally lift and carry light objects, such as office supplies, documents, or small equipment.

Pay Range:
The expected salary range for this position is $141,000 - $168,000 yearly. Actual compensation will be dependent upon individual skills, experience, qualifications, and applicable law.
Nothing in this job description restricts Watts' right to assign or reassign duties, responsibilities, and working hours/conditions to this position at any time. This position is "at will," which means that either the employee or Watts may terminate the employment relationship at any time, with or without notice, and for any lawful reason.
#LIRemote
Watts in it for you:
Please note that the following benefits apply only to permanent roles and do not apply to internship roles.
  • Competitive compensation based on your skills, qualifications and experience
  • Comprehensive medical and dental coverage, retirement benefits
  • Family building benefits, including paid maternity/paternity leave
  • 10 paid holidays and Paid Time Off
  • Continued professional development opportunities and educational reimbursement
  • Additional perks such as fitness reimbursements and employee discount programs
  • Learn more about our benefit offerings here: https://tapintowattsbenefits.com/

How we work:
At Watts, our culture is team-oriented and supportive. Employees here genuinely care about the quality of their work, and about each other. Our people are the heart of who we are and contribute to our longevity and continued success.
And this is a place where you can have a big career. No matter your role, there are opportunities for learning and development, and your daily contributions make a meaningful impact on the lives of people who use our products and on the future of water.
Watts is committed to equal employment opportunity. We follow a policy of administering all employment decisions and personnel actions without regard to race, color, religion, creed, sex, pregnancy, national origin, sexual orientation, age, physical or mental disability, genetic disposition or carrier status, marital status, military or veteran status, minorities, or any other category protected under applicable federal, state, or local law. Consistent with the obligations of state and federal law, Watts will make reasonable accommodations for qualified individuals with disabilities. Any employee who needs a reasonable accommodation should contact Human Resources.

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