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Remote Data Engineer Jobs in Maynard, MA (NOW HIRING)

Motional

Senior Data Engineer

Boston, MA · On-site +1

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework - Ground Truth Regression. The ideal candidate will have a ...

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 ...

Resource Innovations

Energy Engineer

Needham, MA · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Resource Innovations

Energy Engineer

Needham, MA · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

New

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

New

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Maynard, MA

Remote Data Engineer information

See Maynard, MA salary details

$47K

$137.1K

$187.6K

How much do remote data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data engineer in Maynard, MA is $137,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $145,400.00 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 cities near Maynard, MA are hiring for Remote Data Engineer jobs? Cities near Maynard, MA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Maynard, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $137,129 per year, or $65.9 per hour.
Sr Data Engineer- Data Platform & AI Enablement

Sr Data Engineer- Data Platform & AI Enablement

Citizens Bank

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 8 days ago

Job description


Senior Data Engineer - Enterprise Data Enablement
The Enterprise Data Enablement team is seeking a Senior Data Engineer who can design, develop, and maintain secure, scalable, and efficient data pipelines and platforms. This role will focus on building and deploying data solutions across financial consumer business domains by leveraging existing and new data framework capabilities to acquire, transform, stream, and integrate data. The candidate will also contribute to innovative data engineering solutions, including AI/GenAI/Agentic AI-ready data capabilities, while collaborating with and supporting a team of data engineers in building scalable, secure, and intelligent data platforms.
Primary Responsibilities
  • Design, build, and maintain reliable, efficient, and scalable data pipelines to acquire, transform, and store large datasets.
  • Develop robust data pipelines to collect, process, and compute metrics from various financial data sources while adhering to quality and development standards.
  • Contribute to application architecture and technical solutions, and help implement data framework patterns alongside senior engineers and architects.
  • Collaborate with cross-functional teams to deliver optimal data solutions that meet business and platform needs.
  • Develop and deploy high-quality, production-ready code.
  • Apply strong database design principles and data modeling techniques to translate business requirements into scalable data solutions.
  • Develop and optimize data models to support analytics, reporting, machine learning, and AI-driven use cases.
  • Support the implementation and enhancement of enterprise data frameworks and contribute to scalable solutions.
  • Identify opportunities to improve existing frameworks and help build reusable capabilities across the organization.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Execute unit testing for data pipelines, validate results, and ensure data quality and accuracy; partner with business users for User Acceptance Testing and support deployment activities.
  • Follow change management practices and ensure adherence to compliance and regulatory standards.
  • Design and build data pipelines and platform capabilities that support AI, Generative AI, and Agentic AI use cases, including model training, inference, retrieval, and orchestration workflows.
  • Enable AI-ready data foundations by developing high-quality, governed, and reusable datasets for machine learning, large language model (LLM), and intelligent automation solutions.
  • Develop and optimize pipelines for structured, semi-structured, and unstructured data to support GenAI use cases such as semantic search, document intelligence, and retrieval-augmented generation (RAG).
  • Partner with data scientists, ML engineers, architects, and product teams to integrate AI/GenAI capabilities into enterprise data platforms and workflows.
  • Implement metadata, lineage, governance, security, and access controls required for responsible AI and enterprise-scale GenAI adoption.
  • Ensure observability, reliability, performance, and data quality for data pipelines, including those supporting AI-enabled workflows.
Required Skills / Experience
  • 6-8+ years of experience in data engineering and distributed data processing technologies.
  • Hands-on experience with streaming technologies such as Apache Spark, Beam, or Flink.
  • Experience with message brokers such as Apache Kafka.
  • Experience working with microservices and batch processing systems.
  • Strong programming skills in Java and/or Scala; Python experience preferred.
  • Strong SQL development and performance optimization skills.
  • Solid knowledge of relational databases (Redshift, PostgreSQL, Snowflake) and NoSQL databases (MongoDB or similar).
  • Experience with CI/CD pipelines and version control systems such as Bitbucket and Git.
  • Experience with ETL development tools such as Talend or DataStage is a plus.
  • Experience with Java Spring Boot; familiarity with React, TypeScript, or Angular is a plus.
  • Understanding of cloud-based data processing, with AWS and/or Azure experience preferred.
  • Experience building data pipelines that support analytics, machine learning, and AI workloads.
  • Working knowledge of data engineering concepts supporting LLM-based applications, including retrieval pipelines, embeddings workflows, and unstructured data processing.
  • Familiarity with AI/GenAI concepts such as RAG, semantic search, document processing, and model inference workflows.
  • Understanding of data governance, security, lineage, and compliance requirements, particularly in regulated environments.
  • Exposure to workflow orchestration frameworks and automation patterns is a plus.
  • Exposure to vector databases, semantic models, or MLOps/LLMOps concepts is a plus.
  • Strong analytical and problem-solving skills, with the ability to collaborate effectively within technical teams.
Education, Certifications, and/or Other Professional Credentials
  • Bachelor's degree in Computer Science, Engineering, or a related technology field
Hours and Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday through Friday

About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

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