2

Analytics Engineer Remote Dbt Jobs in Boston, MA

Job Summary: As an Analytics Engineer, you will bridge the gap between data analysis and data ... DBT - Preferred. * Proficiency in programming languages such as Python or R. * Familiarity with ...

Build and maintain dbt models using a layered architecture, applying software engineering best ... Treat the analytics codebase with the same rigor as production application code. * Configure self ...

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar). Strong dbt fundamentals -- you know how to ...

Senior Data Platform Engineer

Boston, MA · Remote

$115K - $156K/yr

You'll design and build the architecture and governance that let a growing team of analytics ... Fivetran, Snowflake, dbt, Looker, Grafana. * Own data modeling, transformation, and orchestration ...

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

next page

Showing results 1-20

Analytics Engineer Remote Dbt information

See Boston, MA salary details

$39.1K

$105.3K

$161.3K

How much do analytics engineer remote dbt jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytics engineer remote dbt in Boston, MA is $105,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $119,500.00 per year, depending on experience, location, and employer.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What cities near Boston, MA are hiring for Analytics Engineer Remote Dbt jobs? Cities near Boston, MA with the most Analytics Engineer Remote Dbt job openings:
Infographic showing various Analytics Engineer Remote Dbt job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $105,348 per year, or $50.6 per hour.

Analytics Engineer

Constant Contact

Waltham, MA • On-site, Remote

Full-time

Posted 19 days ago


Constant Contact rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 50 rated marketing agency


Job description

About Us: Constant Contact, an established leader in online marketing, helps small businesses, nonprofits, and individuals stay connected with their customers through email marketing, social media, event marketing, and more. Our mission is to empower small businesses and organizations to create and grow customer relationships and achieve their goals through powerful online marketing tools. We value innovation, collaboration, and a customer-first mindset in everything we do.

Job Summary: As an Analytics Engineer, you will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets, building robust data models, and enabling data analysts and other stakeholders to extract meaningful insights. Your work will directly impact decision-making processes across the organization.

Key Responsibilities:

  • Design, build and optimize data models for analytical and operational use cases.
  • Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats(as needed).
  • Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.
  • Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.
  • Develop and maintain data infrastructure and tooling to support analytics workflows.
  • Monitor and troubleshoot data pipelines/models and reports to ensure smooth operation and timely data delivery.
  • Implement and enforce data governance and security measures.
  • Provide reliable and trustworthy models for the Organization to make critical decisions.
  • Experience with the Finance domain/analytics is a plus.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. A Master's degree is a plus.
  • 1-3 years of experience as an Analytics Engineer, Data Engineer, or a similar role.
  • Strong proficiency in SQL and experience with data modeling and schema design such as star and snowflake.
  • Experience with ELT tools and data pipeline frameworks (e.g., Apache Airflow, dbt, Fivetran).DBT - Preferred.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Experience with Snowflake is desirable.
  • Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with cloud databases 
  • Experience in Reporting tools.
  • Knowledge of machine learning concepts
  • Familiarity with data governance and compliance standards.
  • Ability to work in an agile environment.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity for professional growth and development.
  • Collaborative and inclusive work environment.
  • Flexible work arrangements.

What Constant Contact employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom