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Senior Data Analytics Engineer Jobs in Boston, MA

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 ...

Senior Data Engineer - Analytics

Boston, MA · On-site

$115K - $156K/yr

RevSpring is seeking a Senior Data Engineer - Analytics to collaborate with internal teams in designing data pipelines and ensuring data integrity. The role involves taking ownership of the codebase ...

Senior Data Engineer - Analytics

Boston, MA · On-site

$115K - $156K/yr

RevSpring is a company focused on delivering customer-facing analytic services. They are seeking a Senior Data Engineer to collaborate with internal teams to design and maintain data pipelines ...

The MFS Investment Data Management Office is actively searching for a Senior Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation ...

Senior Data Platform Engineer

Boston, MA · Remote

$115K - $156K/yr

We're looking for a Senior Data Platform Engineer to own the foundation the entire Data & Data ... You'll design and build the architecture and governance that let a growing team of analytics ...

Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software ... Partner with Data Scientists and business stakeholders to understand analytical needs and translate ...

Senior Data Engineer

Boston, MA · Hybrid

$115K - $156K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

Analytics Engineer

Newton, MA · On-site

$92K - $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 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 ...

Senior Data Engineer

Boston, MA · Hybrid

$106K - $197K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

Senior Data Engineer

Boston, MA · Hybrid

$106K - $197K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

Senior Data Engineer

Boston, MA · Hybrid

$115K - $156K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity ...

As a senior member of the team, you won't just be writing SQL; you'll be defining our data architecture, working with data analysts and data engineers. How You'll Contribute: * Data Modeling: Design ...

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 ...

Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software ... Partner with Data Scientists and business stakeholders to understand analytical needs and translate ...

Showing results 21-40

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 6, 2026, the average yearly pay for senior data analytics engineer in Boston, MA is $137,236.00, 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 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.

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 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.

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 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:
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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,236 per year, or $66 per hour.

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 hours ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

180th of 242 rated software companies


Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems.
What you'll do
Data Integration & Modeling
  • Aggregate and unify data across disparate systems.
  • Design scalable data models and pipelines to enable reliable and real-time analytics.

AI-Driven Analytics & Reporting
  • Leverage agentic AI tools to dynamically generate reports and dashboards.
  • Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
  • Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.

Dashboarding & Visualization
  • Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
  • Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
  • Ensure reporting is actionable and aligned to business priorities.

Risk Identification & Actionable Recommendations
  • Analyze data to identify risks, inefficiencies, and performance gaps
  • Provide clear, data-driven recommendations to mitigate risks and improve outcomes.

Data Governance
  • Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
  • Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.

What you'll need
  • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
  • Minimum of 8 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
  • Experience building agentic AI frameworks for analytics automation.
  • Strong proficiency in SQL and Python (data manipulation, analysis, automation).
  • Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
  • Experience working with large, multi-source datasets and building scalable data models.
  • Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
  • Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
  • Strong business acumen with the ability to translate data into actionable insights.
  • Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.

Our environment
  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

#LI-Hybrid
#LI-DW
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

What Symbotic employees say

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