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Senior Data Analytics Engineer Jobs in Boston, MA

VIA

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

New

Purple Carrot

Analytics Engineer

Dedham, MA · Hybrid

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 ...

Purple Carrot

Analytics Engineer

Dedham, MA · On-site

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 ...

Purple Carrot

Analytics Engineer

Dedham, MA · On-site

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 ...

VIA

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

New

Mitre

Health Data Analytics Engineer

Bedford, MA

$120K - $144K/yr

... economics, engineering). * Demonstrated expertise in problem solving and technical innovation ... Experience with data analysis, data fusion and integration. * Strong analytical skills and comfort ...

Raytheon

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)

Geode Capital Management

Senior Data Engineer

Boston, MA · Hybrid

$165K - $185K/yr

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

ABCorp NA Inc.

Sr. Analytics Engineer

West Roxbury, MA · On-site

$110K - $140K/yr

Our team owns everything from data modeling and instrumentation to metrics definition ... The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics ...

ABCorp

Sr. Analytics Engineer

Boston, MA · On-site

The Senior Analytics Engineer will own the data and analytics strategy for secure payment card solutions and enterprise SaaS products, partnering with cross-functional teams to build scalable data ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site +1

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

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

Senior Data Analytics Engineer information

See Boston, MA salary details

$88K

$137.2K

$190.1K

How much do senior data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data analytics engineer in Boston, MA is $137,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $156,400.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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 Senior Data Analytics Engineer jobs in Boston, MA?

For Senior Data Analytics Engineer jobs in Boston, MA, the most frequently searched job titles are:

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

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

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

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

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,243 per year, or $66 per hour.

Data Analytics Engineer

VIA

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

VIA is making an impact, and so can you.

VIA is the digital infrastructure company mission-critical organizations rely on when speed and security matter most. The Department of War, government agencies, and global enterprises depend on VIA to disrupt corruption, defend critical infrastructure, and deliver humanitarian aid. VIA's products span agentic AI, zero-trust identity, quantum-resistant data, and offline stablecoin payments. Every human and agentic AI action is intentionally captured, attributed, and defensible. Designed for sub-second speed and multi-decade defensibility. 

An impressive mission requires an equally impressive Data Analytics Engineer.

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA's data products and guide our customers' decisions. Operating on a high-velocity Agile team, you'll work cross-functionally with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, in an environment where precision, security, and clarity are non-negotiable.

In this role, you will:

Understand the data and the domain

  • Partner with VIA's client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues
  • Explore customer data to build a clear picture of contents and characteristics (e.g. averages, expected ranges, trends, standard deviations) and make suggestions for data cleaning and analysis

Build AI-powered data products

  • Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations that turn complex findings into clear stories
  • Build AI into VIA's data products, for example through automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data
  • Evaluate the quality and reliability of AI/ML outputs against domain expectations, and design the human-in-the-loop checks that keep our data products trustworthy

Oversee data pipelines

  • Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance
  • Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
  • Run quality control on data and data products through both automated tests and targeted manual review, and document the assumptions and decisions made along the way so the work stays traceable

Improve the platform

  • Contribute to the continual improvement of internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying key data-related challenges that are ideal candidates for automation and AI enhancement
Requirements

What you will bring to this role:

  • 3+ years of experience in a data-driven role or equivalent in data-related research projects
  • Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field
  • Competence in Python, R, or equivalent programming language
  • Competence in at least two of the following technologies:
  • Database technologies (e.g., SQL, PostgreSQL)
  • Data science libraries (e.g., NumPy, pandas)
  • Data pipelining workflows and tools (e.g., Dagster, Airflow, dbt)
  • Cloud providers (e.g. AWS, Azure), including software development kits used to access data and services on these platforms
  • Ability to translate complex data findings into clear, compelling narratives
  • Strong communication capability to decompose complex operational workflows into clear, repeatable steps that both teammates and AI tools can act on
  • Passionate about data integrity, with a proven track record of transforming raw inputs into high quality, trusted datasets
  • A self-starter attitude and demonstrated ability to learn new technologies quickly
  • Experience in the following is a plus:
  • Generative AI tools (e.g. AWS Bedrock, LangChain)
  • Testing frameworks (e.g. pytest)

What does it take to be a successful VIAneer? Let's break it down, our VIAneers are:

  • Self-motivated and passionate about leaving everything they touch better than how they found it
  • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
  • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
  • People who lead discussions with curiosity and value diverse perspectives
  • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
  • Strong team players who thrive in collaborative environments and celebrate the success of others
Benefits

What can VIA do for you?

VIA offers competitive benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers' favorite perks:

  • Compensation: 
    • This role offers a salary range of $100,000 - $130,000 USD per year
    • 401K plan with up to 5% employer contribution
  • Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
  • Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
  • Time off: Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December
  • Remote work: Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as access to three well-located offices, designed for collaboration and stocked with everything you could need
    • Opportunities to work remotely from eligible locations for up to 2 months per year
  • Growth: Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA's unrivaled leadership program
    • A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
  • Transit: Benefits to support commuting costs
  • Connection: In-person events to foster team bonding and collaboration across different teams

Read more about our benefits and perks here.

Our commitment to Diversity and Inclusion:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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