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

Symbotic

Data Analyst (Quality)

Wilmington, MA · Hybrid

... visualization techniques while performing other related duties as assigned. What you'll need * Bachelor's degree in Data Analytics, Statistics, Computer Science, Engineering, Information Systems ...

MFS Investment Management

Sr. Data Engineer

Boston, MA · On-site

$95K - $137K/yr

THE ROLE The Sr. Data Engineer will play a critical role in enhancing and maintaining a data ... Experience with data visualization and concepts around display of data * Equity and fixed income ...

MFS

Sr. Data Engineer

Boston, MA · Hybrid

$95K - $137K/yr

THE ROLE The Sr. Data Engineer will play a critical role in enhancing and maintaining a data ... Experience with data visualization and concepts around display of data * Equity and fixed income ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Experience supporting engineering, manufacturing, aerospace, or other technical organizations. * Familiarity with statistical analysis and data visualization techniques. * Experience working with ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

Experience with data visualization libraries (D3.js, Plotly, etc.); Understanding of MLOps or model deployment practices; Background in scientific computing, data engineering, or experimental ...

Busek

Data Analyst

Natick, MA · On-site

Experience supporting engineering, manufacturing, aerospace, or other technical organizations. * Familiarity with statistical analysis and data visualization techniques. * Experience working with ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Boston, MA

Data Visualization Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do data visualization engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data visualization 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 is a Data Visualization Engineer job?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by Data Visualization Engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive in the Data Visualization Engineer position, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in Boston, MA? The most popular types of Data Visualization Engineer jobs in Boston, MA are:
What are popular job titles related to Data Visualization Engineer jobs in Boston, MA? For Data Visualization Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in Boston, MA look for? The top searched job categories for Data Visualization Engineer jobs in Boston, MA are:
Data Visualization Engineer jobs near you
Staff AI Data Analytics Engineer

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA • On-site

Full-time

Re-posted 24 days ago

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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