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

Deloitte

AI and Data Science Engineer III

Boston, MA · On-site +1

$124K - $149K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

FortifyIQ

Data & AI Engineer (Remote)

Salem, MA · Remote

$125K - $150K/yr

We're seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform ...

Gradient AI

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity. How you ...

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Equipping investors with data-driven insights to optimize capital allocation in drug asset ... This is a remote-first position, but we'd love it if you're based in or near Boston. What You'll Do:

Jj

Manager, Data Science - Oncology

Cambridge, MA · On-site +1

Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

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

Remote Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do remote data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data engineer in Boston, MA is $140,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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.

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 Boston, MA? The most popular types of Data Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Data Engineer jobs in Boston, MA? For Remote Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Boston, MA look for? The top searched job categories for Remote Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Data Engineer jobs? Cities near Boston, MA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $140,917 per year, or $67.7 per hour.
Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus)

Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus)

Citizens

Westwood, MA • On-site, Remote

$105K - $158K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Description

Senior Java Data Engineer
Enterprise Data Frameworks

Role Summary

The Enterprise Data Frameworks team is seeking a Senior Java focused software engineer who builds and maintains large scale data processing systems using Java, Apache Spark, and Kafka. This role is intended for experienced backend engineers with strong core Java fundamentals who apply traditional software engineering practices to data intensive platforms and distributed systems.

The ideal candidate has hands on experience developing production grade Java applications using modern frameworks and IntelliJ based development workflows, paired with practical experience building Spark based processing pipelines and Kafka driven data ingestion services. In this role, you will contribute to the core components of enterprise data frameworks, working closely with senior engineers and architects while remaining deeply involved in design and implementation.

This role requires strong Java engineering skills, the ability to debug and optimize complex Spark applications, and comfort operating in regulated environments where stability, data quality, and reliability are critical.

Key Responsibilities

Design, build, and maintain Java based data processing pipelines using Apache Spark for batch and streaming workloads
Develop and support Java based backend services and APIs that orchestrate data workflows and framework components
Apply solid object oriented design principles to distributed data processing systems
Optimize Spark applications for performance, reliability, and cost efficiency across cloud and on premises environments
Collaborate with architects and senior engineers on technical design and framework evolution
Partner with frontend and platform teams to integrate backend data services where applicable
Translate business and technical requirements into scalable, well structured engineering solutions
Participate in code reviews, contribute to shared standards, and mentor junior engineers
Ensure solutions align with data governance, security, and change management standards
Participate in Agile ceremonies and support continuous improvement of engineering practices

Required Skills and Experience

7+ years of experience as a software engineer or data engineer with strong emphasis on Java backend development
Strong hands on proficiency in Java, including object oriented design, debugging, and performance optimization
Experience building Spark applications in Java for large scale data ingestion and transformation
Practical experience with Apache Kafka and event driven data architectures
Experience developing Java based services using frameworks such as Spring Boot
Solid understanding of distributed systems concepts and data processing architectures
Familiarity with data lake technologies, columnar storage formats such as Parquet or Iceberg, and metadata driven frameworks
Experience using Git based workflows, CI CD pipelines, and modern development practices
Exposure to cloud environments, with preference for AWS based data platforms such as S3, EMR, Lambda, or API Gateway
Experience working in regulated or enterprise environments with strong data governance requirements

Preferred Experience

Experience collaborating with UI or platform teams to integrate backend data services
Experience with containerization and orchestration tools such as Docker or Kubernetes
Exposure to additional JVM or scripting languages such as Scala or Python in a data context
Experience with developer productivity or automation tooling

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

Work Details

Hours per Week 40
Location Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule Monday through Friday

Pay Transparency

The salary range for this position is $105,000-158,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

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.

Education:Why Work for UsEmployment Type: 1ST

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