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

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

A rapidly growing financial technology company is hiring a Principal Data Analytics Engineer to lead the evolution of its cloud-native data platform supporting one of the world's largest structured ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site

You will work closely with our data team and system owners across Engineering, Finance, and ... Treat the analytics codebase with the same rigor as production application code. * Configure self ...

Connie Health

Senior Analytics Engineer

Boston, MA · On-site

You will work closely with our data team and system owners across Engineering, Finance, and ... Treat the analytics codebase with the same rigor as production application code. * Configure self ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site +1

You will work closely with our data team and system owners across Engineering, Finance, and ... Treat the analytics codebase with the same rigor as production application code. * Configure self ...

Rockstar Games

Senior Analytics Engineer

Andover, MA · On-site

Partner with Data Scientists and business stakeholders to understand analytical needs and translate ... Collaborate with the Data Engineering team to design, develop and maintain scalable data models and ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Hasbro

Senior Analytics Engineer

Boston, MA

We are growing our Enterprise Data & Engineering team! We're looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business ...

Hasbro

Senior Analytics Engineer

Boston, MA · On-site

We are growing our Enterprise Data & Engineering team! We're looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business ...

Whoop

Analytics Engineer II

Boston, MA · On-site

$125K - $175K/yr

You will work closely with Analytics and Data Engineering to expand and improve WHOOP's data infrastructure as we scale - executing on architectural initiatives set by senior team members while ...

State Street Corporation

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position include: Collaborating with all internal technical and business teams including SaaS Ops, Alpha Cloud ...

State Street Global Advisors

Data Analytics

Boston, MA

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position include: Collaborating with all internal technical and business teams including SaaS Ops, Alpha Cloud ...

Topline Pro

Staff Analytics Engineer

Boston, MA · On-site

$175K - $190K/yr

Role Summary We're hiring a Staff Analytics Engineer to take ownership of how data is modeled ... You'll shape the way data flows through the company and ensure we have the right foundation to ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Boston, MA

Data Analytics Engineer information

See Boston, MA salary details

$48.4K

$141.1K

$193.1K

How much do data analytics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analytics engineer in Boston, MA is $141,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $149,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Boston, MA? The most popular types of Data Analytics Engineer jobs in Boston, MA are:
What are popular job titles related to Data Analytics Engineer jobs in Boston, MA? For Data Analytics Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Boston, MA look for? The top searched job categories for Data Analytics Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Analytics Engineer jobs? Cities near Boston, MA with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $141,096 per year, or $67.8 per hour.

Principal Data Engineer

Motion Recruitment

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Job Description

A rapidly growing financial technology company is hiring a Principal Data Analytics Engineer to lead the evolution of its cloud-native data platform supporting one of the world's largest structured finance analytics ecosystems. 

This is a highly strategic, hands-on role where you'll shape the technical direction of the organization's analytics platform while partnering closely with engineering, product, analytics, and business leaders. The team is looking for someone who can architect large-scale data systems, establish engineering best practices, mentor senior engineers, and solve complex data challenges that directly influence financial markets.
This is a hybrid full-time role in Back Bay, Boston.

Required Skills & Experience

· 8+ years of experience in data engineering, analytics engineering, or data platform development
· Expert-level proficiency in Python and SQL
· Extensive experience designing scalable ETL/ELT pipelines and cloud-native data architectures
· Strong experience with dbt, Apache Airflow, Apache Spark, or equivalent modern data frameworks
· Experience with Google Cloud Platform, BigQuery, Dataproc, Cloud Run, or similar cloud technologies
· Deep understanding of data modeling, business logic implementation, and relational database design
· Experience building highly reliable, production-scale data platforms
· Strong software engineering fundamentals with a focus on performance, scalability, and maintainability
· Excellent communication skills with experience influencing technical and business stakeholders
· Experience mentoring engineers and driving engineering best practices across teams

Desired Skills & Experience

· Experience architecting enterprise-scale analytics platforms
· Background in financial services, lending, capital markets, or structured finance
· Experience working with AI-assisted development tools and modern data automation frameworks
· Experience partnering directly with customers and executive stakeholders
· Familiarity with distributed computing, data governance, and large-scale data quality initiatives
· Experience leading technical strategy across cross-functional engineering organizations

What You Will Be Doing Tech Breakdown

· 40% Data Platform Architecture & Engineering
· 30% Data Modeling, Analytics Engineering & Business Logic
· 20% Technical Leadership & Cross-Functional Strategy
· 10% Platform Innovation & Performance Optimization

Daily Responsibilities

· 60% Hands On Engineering
· 25% Technical Leadership & Architecture
· 15% Cross-Functional Collaboration & Stakeholder Engagement

The Offer

• Competitive base salary + bonus and equity potential

You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· 401(k)
· Unlimited Paid Time Off (PTO)
· Monthly Fitness Stipend & Annual Wellness Fund
· Paid Parental Leave
· Professional Development & Conference Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply