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

Senior Data Analytics Engineer

MA

$115K - $157K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Senior Data Analytics Engineer

Boston, MA

$115K - $156K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Health Data Analytics Engineer

Bedford, MA · On-site

$120K - $144K/yr

... data science and predictive health analytics. If you love: • Watching the analytics tools you ... engineering). • Demonstrated expertise in problem solving and technical innovation. • ...

Factory Data Analytics Engineer

Andover, MA

$116K - $139K/yr

Create and maintain data visualization and statistical analysis tools that increase understanding ... Experience with at least one programming language (e.g., Python, Perl, C, C++, C#, Java etc)

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

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 ...

New

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Analytics Engineer

Waltham, MA · On-site

$118K - $177K/yr

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Analytics Engineer

Waltham, MA · On-site

$84K - $101K/yr

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 ...

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

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Showing results 1-20

Data Analytics Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do data analytics engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analytics 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.

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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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 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:
Infographic showing various Data Analytics Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.
Senior Data Analytics Engineer

$115K - $157K/yr

Full-time

Re-posted 10 days ago


Liberty Mutual rating

9.0

Company rating: 9.0 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance


Job description

Description

If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you.

Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions.**This role may have in-office requirements dependent upon candidate location.**

Responsibilities

  • Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs.
  • Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.
  • Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide tailored analytics solutions.
  • Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.
  • Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.
  • Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data.
  • Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities.
  • Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.

The ideal candidate will:

  • Have strong hands-on experience with SQL and Python; familiarity with cloud data platforms such as Snowflake and AWS. Experience with dbt or Databricks is a plus.
  • Demonstrate 5+ years of experience in data analysis, product/business analytics, or data engineering.
  • Possess proven experience managing analytics or data projects and coordinating cross-functional workstreams, with demonstrated ability to deliver on time and communicate progress to varied audiences.
  • Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective).
  • Be experienced with data quality practices, monitoring, and validation approaches to ensure reliable inputs for analytics and decision-making.
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.

Preferred qualifications:

  • Domain experience in personal lines Auto, Property, or other insurance product areas.
  • Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes.
Qualifications
  • Strong written and oral communication skills required.
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.
  • Master`s in same or related disciplines strongly preferred.
  • 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. 
  • 5-7+ years experience as developer with top quadrant Business Intelligence tools.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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