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

Software Engineering, Senior Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The Investment Data Management Office is seeking a Senior Investment Data Engineer to support the ... Contribute to dbt projects by building modular, scalable, and well-documented transformation ...

Lead Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Manage and contribute to dbt projects, ensuring code quality, proper documentation, and alignment with modular, scalable design patterns. Design, build, and administer scalable data pipelines and a ...

Lead Data Engineer

Boston, MA · On-site

$124K - $149K/yr

WHAT YOU WILL DO • Develop and maintain data models in dbt (Data Build Tool) within Snowflake ... data engineering, analytical engineering and data maintenance capabilities. • Provide support ...

Data Engineer

Boston, MA · On-site

$125 - $150/hr

The Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as Python, DBT, Snowflake, and AWS. This role is based in our office in ...

Data Engineer

Boston, MA · On-site

$130K - $155K/yr

The Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as Python, DBT, Snowflake, and AWS. This role is based in our office in ...

Data Engineer

Boston, MA · Hybrid

$130K - $155K/yr

The Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as Python, DBT, Snowflake, and AWS. This role is based in our office in ...

Data Engineer

Boston, MA · On-site

$140K - $160K/yr

... seeking a Data Engineer who is passionate about building scalable, impactful data pipelines ... Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with ...

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

You'll own our dbt transformation layer end-to-end -- modeling energy market data, customer ... You'll partner closely with engineering, operations, and leadership to deliver analytics that ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive ... Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka - experience ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive ... Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka - experience ...

Senior Data Engineer

Boston, MA · On-site

$150 - $200/hr

The Senior Data Engineer will help build a modern, cloud‑native data and analytics platform centered around AWS, Snowflake, DBT, Snaplogic, and Python. Responsibilities * Build a best‑in‑class ...

Senior Data Engineer

Boston, MA · Remote

$115K - $151K/yr

Proficiency in SQL, dbt, and Python for data transformation and orchestration. * Experience with cloud-native architecture, DevOps practices, and CI/CD pipelines in Azure, AWS, and GitHub.

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Dbt Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do dbt data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for dbt data engineer in Boston, MA is $140,924.00, 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 is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

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

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What job categories do people searching Dbt Data Engineer jobs in Boston, MA look for?

The top searched job categories for Dbt Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Dbt Data Engineer jobs?

Cities near Boston, MA with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Software Engineering, Senior Data Engineer

MFS International Australia Pty Ltd

Boston, MA • On-site

$100 - $125/hr

Other

Medical, Dental, Retirement

Posted 23 days ago


Key responsibilities

  • Develop and maintain data models in dbt within Snowflake, implementing business logic and data standards.

  • Design, develop, and support scalable data pipelines and data warehouse solutions for reporting, analytics, and operational use cases.

  • Troubleshoot data and system issues, support resolution efforts, and assist in operational and production support.


Job description

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

THE ROLE

In conjunction with the Investment Data Management Office, the Senior Investment Data Engineer contributes to a strategic initiative to unify and harmonize investment data across the organization. This initiative supports enhanced investment decision making, risk management, analytics, and client reporting for a multi-asset investment platform by delivering consistent, timely, accurate, and user-friendly data to investment professionals, risk teams, and clients.

Are you a hands-on and detail-oriented individual interested in financial instruments, investment data, and analytics? Do you enjoy solving complex data challenges and building scalable data solutions? Are you interested in working across a broad range of traditional and alternative asset classes while collaborating with business and technology teams in a fast-paced environment? The Investment Data Management Office is seeking a Senior Investment Data Engineer to support the implementation and maintenance of modern data engineering and analytics solutions. This role will contribute to the development, enhancement, and support of investment data platforms and pipelines while partnering closely with data architects, platform engineers, investment teams, and vendor partners. This position offers the opportunity to grow technical expertise and contribute meaningfully to the future of investment data capabilities.

WHAT YOU WILL DO
  • Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and adhering to established data standards and architectural principles.
  • Contribute to dbt projects by building modular, scalable, and well-documented transformation pipelines.
  • Design, develop, and support scalable data pipelines and data warehouse solutions for reporting, analytics, and operational use cases.
  • Participate in development activities and support implementation of solutions aligned with business and program objectives.
  • Assist in improving data quality, resiliency, controls, monitoring, and operational efficiency across the investment data platform.
  • Troubleshoot data and system issues, identify root causes, and support resolution efforts.
  • Partner with senior engineers, platform leads, architects, and business stakeholders to support delivery of investment data solutions.
  • Support integration of data ingestion, transformation, orchestration, and validation tools within the unified data platform.
  • Contribute to enhancement of data engineering and analytical engineering capabilities across the platform.
  • Provide operational and production support, including assistance during unexpected outages or incidents.
WHAT WE ARE LOOKING FOR
  • Bachelor’s degree in Computer Science or related discipline.
  • 3-5+ years of experience designing, developing, and supporting data-oriented applications and platforms.
  • 2+ years of hands-on experience with SQL and advanced SQL concepts.
  • Experience developing and maintaining data models using dbt (Data Build Tool).
  • Experience working with data integration (ETL/ELT), data warehousing, and analytics architectures, with understanding of data engineering best practices and design principles.
  • Experience with Snowflake and/or other cloud-native databases is preferred.
  • Development experience with cloud-based PaaS platforms such as Microsoft Azure, Google GCP, or Amazon AWS.
  • Familiarity with Agile SDLC, DevOps practices, CI/CD processes, and cloud technologies.
  • Understanding of modern data architecture concepts such as unified data management, data mesh, event-driven architecture, real-time data flows, and data virtualization is a plus.
  • Exposure to financial services, investment management, or investment data domains is preferred.
  • Strong analytical, problem-solving, interpersonal, and communication skills with the ability to collaborate effectively across teams.
PREFERRED SKILLS AND QUALIFICATIONS
  • Experience working within the asset management industry and investment data domain.
  • Understanding of financial instruments, investment data, transactions, positions, and multi-asset investment platforms.
  • Certifications in Snowflake, dbt, cloud data engineering technologies, or related data platforms are a plus.
  • Interest in emerging AI technologies and understanding of how AI-driven tools can improve engineering workflows, operational efficiency, and analytics processes.
  • Experience using automation or AI-assisted development tools to support continuous improvement initiatives is beneficial.

Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for sponsorship.

Base Salary Range: $98,500.00 - $141,500.00. This position is eligible for competitive incentive bonus. At MFS, we believe in fair and transparent compensation. For that reason, we’re including the salary range for this position. This range reflects our good-faith expectation for what we’ll pay depending on the candidate’s experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensation based on both individual and company performance.

BENEFITS AND TOTAL REWARDS PACKAGE
  • MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company-sponsored 401(k)
  • Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
  • Education Assistance: Tuition reimbursement up to $8,000 annually
  • Education Assistance: Access to discounted tutors and college coaches
  • Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
  • Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
  • Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
  • Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps

Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work. We are committed to transparency – if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we’ll be happy to discuss them.

WORK ENVIRONMENT

MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.

If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance.

DEPARTMENT AT MFS

MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.

For almost a century, investors around the world have trusted MFS to achieve their investment goals. Since 1924, when our founders invented the mutual fund, collaboration, a long-term focus and skilled active research have fueled our success. As a leading global investment manager, we hire employees who share our values, align with investors who share our long-term philosophy, and always act in the best interest of our clients.

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