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Full Time Data Analytics Engineer Jobs in Boston, MA

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 ...

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

$84K - $101K/yr

Collaborate with data analysts, data scientists, data engineers and other stakeholders to ... Pay Transparency - All Full Time Employees $84,800-$101,760 USD Why You'll Love Us: * We celebrate ...

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 ...

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 ...

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 ...

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 ...

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering ...

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering ...

They are seeking a Senior Analytics Engineer to work on developing data infrastructure and analytics solutions that support decision-making across the organization. Responsibilities : • Partner ...

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Showing results 1-20

Full Time Data Analytics Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do full time data analytics engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for full time 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.

What are the key skills and qualifications needed to thrive as a full time data analytics engineer?

To thrive as a Full Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, data visualization platforms (like Tableau or Power BI), and experience with cloud data systems or certifications (e.g., AWS, Google Cloud) are typical requirements. Exceptional problem-solving abilities, communication skills, and attention to detail help you interpret complex data and collaborate effectively with stakeholders. These skills are essential to transform raw data into actionable insights, driving business decisions and organizational growth.

What are some common challenges faced by full time data analytics engineers when working with diverse data sources?

Full Time Data Analytics Engineers often encounter challenges when integrating and cleaning data from multiple, disparate sources, such as databases, APIs, and flat files. Ensuring data quality, consistency, and compatibility across these sources can be complex and time-consuming. Additionally, the need to collaborate with both technical and non-technical stakeholders to understand data requirements and business objectives requires strong communication skills. Addressing these challenges is critical for delivering accurate and actionable insights.

What does a full time data analytics engineer do?

A Full Time Data Analytics Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze large volumes of data. They work closely with data scientists and business stakeholders to develop pipelines and tools that transform raw data into meaningful insights. Their work involves data modeling, database management, and the use of analytics tools to help organizations make data-driven decisions. Additionally, they ensure data quality, security, and scalability within the analytics infrastructure.
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 Full Time Data Analytics Engineer jobs in Boston, MA look for? The top searched job categories for Full Time Data Analytics Engineer jobs in Boston, MA are:

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA • On-site

Full-time

Re-posted 17 days ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

180th of 241 rated software companies


Job description

Job Summary:
Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking a Staff AI Data Analytics Engineer to design and build an intelligent analytics ecosystem that aggregates operations data and leverages agentic AI for insights and recommendations.
Responsibilities:
• Aggregate and unify data across disparate systems.
• Design scalable data models and pipelines to enable reliable and real-time analytics.
• 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.
• 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.
• Analyze data to identify risks, inefficiencies, and performance gaps
• Provide clear, data-driven recommendations to mitigate risks and improve outcomes.
• 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.
Qualifications:
Required:
• 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.
Company:
Symbotic is a provider of integrated supply network automation solutions for warehouses and distribution centers. Founded in 2005, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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