1

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

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 ...

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 ...

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 ...

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

Sr. Analytics Engineer

West Roxbury, MA · On-site

$110K - $140K/yr

The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering ... Our team owns everything from data modeling and instrumentation to metrics definition ...

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

next page

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 Jun 15, 2026, the average yearly pay for data analytics 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.

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 I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, 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 stock options or bonuses.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 infrastructure 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 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 June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $140,917 per year, or $67.7 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

Axon

Boston, MA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Axon rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

15th of 139 rated electronics manufacturers


Job description

Join Axon and be a Force for Good.

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

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 applications. This role is responsible for configuring system databases, designing and maintaining scalable analytics solutions, and developing reports and dashboards tailored to customer needs. The ideal candidate will work with data engineers, business stakeholders, and customers. They will make visualizations and reports that are easy to understand. They will also develop training strategies, create instructional materials, and provide support resources for deployment. Robust analytical skills, attention to detail, and the ability to communicate proficiently with both technical and non-technical audiences are essential.

What You'll Do 
Location: Hybrid in office + up to 50% travel required.
Must be within commutable distance to one of our Hub locations listed below:
(Scottsdale AZ, Seattle WA, Boston MA, Atlanta GA)
Reports to: Director, Data Integration and Architecture

  • Develop and maintain data pipelines, models, and dashboards to support business analytics and reporting needs.
  • Partner with our public safety client agencies to understand their business processes, organizational needs, and how our products achieve their digital transformation objectives for their reporting and analytics needs
  • Configure system databases to prepare the Axon Records, and Standards analytics
  • Author and configure Power BI and/or SSMS reports, dashboards, and analytics as needed for our customers
  • Train public safety agencies on Power BI and/or SSMS reporting capability in Axon's applications
  • Build tools that support our clients to successfully manage and navigate the digital transformation journey within their own agencies
  • Create training strategies and plans. Also, make instructional materials for introducing customer software.
  • Use effective instructional design methodologies and technologies as it relates to reporting & analytics
  • Communicate testing plans, training plans, activities, and outcomes to appropriate internal and external stakeholders
  • Partner with key stakeholders including Axon Academy on the development of eLearning training assets and delivery via Axon's learning management system
  • Partner with the product engineering teams to assess content, system developments/customization to maintain testing/training materials, and update for clients as needed
  • Be a product subject matter expert (SME) in crime analytics and reporting
  • Optimize data models and queries for performance and efficiency.
  • Leverage AI tools (eg., Cursor, Claude, Gemini) to accelerate SQL query development, dashboard building and data model optimization.
  • Lead complex, multi-agency analytics implementations end to end with minimal supervision
  • Mentor and Provide technical guidance to juinior team members
  • Drive best practices for SQL development, dashboard design, template versioning and data modeling across the team
  • serve as primary technical SME and escalation point for customer analytics issues

What You Bring

  • 7+ years of experience delivering and/or managing public safety software testing, training, and/or implementation projects
  • Demonstrated ability to operate independently on ambigious, high-visibility projects
  • Experience mentoring or technically leading peers
  • Bachelor's Degree or equivalent experience in computer science/data analytics is preferred
  • Proficiency in SQL management studio, Power BI, or similar reporting language
  • Familiarity with AI assisted development tools to write, optimize and troubleshoot SQL queries and build dashboards more efficiently
  • Deep level knowledge of Public Safety crime analysis is preferred
  • Top-notch communication skills and the ability to communicate to both technical and non-technical customers/colleagues.
  • Exposure to software development and continuous process improvement processes
  • Proven success in transforming raw content into informative, engaging, and compelling learning experiences
  • Must be able to write clear copy, instructions, and messages for both internal and external audiences, as well as scripts for audio and video.
  • Must pass a Criminal Justice Information Services (CJIS) background check and maintain confidential and highly sensitive information.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work


What Axon employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom