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Science Visualization Jobs in Westerly, RI (NOW HIRING)

First Citizens Bank

Technical Lead

Carolina, RI · Remote

$150K - $199.97K/yr

Educate and promote use of standard data sources, reusable assets, and visualization best practices ... Qualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics or a ...

First Citizens Bank

Technical Lead

Carolina, RI · Remote

$150K - $199.97K/yr

Educate and promote use of standard data sources, reusable assets, and visualization best practices ... Qualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics or a ...

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Science Visualization information

See Westerly, RI salary details

$24.7K

$48.7K

$79.6K

How much do science visualization jobs pay per year?

As of May 30, 2026, the average yearly pay for science visualization in Westerly, RI is $48,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $52,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Science Visualization Specialist, and why are they important?

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

How does a Science Visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

Science Visualization jobs near you

Senior Banking Data Engineer

washingtontrust

Westerly, RI • Hybrid

$95/hr

Other

Posted 11 days ago

Job description

Washington Trust is seeking an accomplished and forwardthinking Senior Banking Data Engineer to support and advance the organization’s enterprisewide data and analytics capabilities. As a key member of our Management Information Systems (MIS) function, the Senior Banking Data Engineer will design, build, and modernize scalable data platforms that power decisionmaking across all business lines and corporate functions.

This role serves as a technical leader and trusted partner to stakeholders throughout the enterprise, driving the evolution of our cloudbased data environment, ensuring data quality and governance, and enabling advanced analytics, reporting, and business intelligence solutions. The Senior Banking Data Engineer will play a critical role in shaping Washington Trust’s data architecture strategy, mentoring team members, and delivering innovative solutions that support operational excellence, customer insights, and enterprise performance.

This is a hybrid position with periodic on-site work in our office in Westerly, RI.

Key Responsibilities
  • Serve as the primary architect and builder of Washington Trust’s modern data ecosystem, establishing the foundational patterns, standards, and frameworks for all future data engineering initiatives.
  • Act as the technical authority for data engineering, providing architectural direction and influencing data strategy across technology and business teams.
  • Lead modernization initiatives using Azure Data Services and Microsoft Fabric.
  • Architect, implement, and maintain scalable data models, data lakes, data warehouses, and semantic layers that support enterprise data needs.
  • Design, develop, and optimize endtoend data ingestion, transformation, and integration pipelines spanning multiple business domains.
  • Collaborate with leaders and teams across the organization to understand data needs and translate business requirements into robust technical solutions.
  • Champion a dataproduct mindset, creating reusable, governed, and welldocumented data assets that support analytics, risk, finance, and operations.
  • Develop and deploy high-performing, maintainable code using SQL, TSQL, Python.
  • Implement Continuous Integration / Continuous Deployment pipelines and DevOps best practices to improve efficiency, reliability, and automation across data environments.
  • Champion data quality by implementing standardized validation rules, lineage tracking, and monitoring frameworks.
  • Develop, support, and enhance enterprise data visualization and reporting solutions using Power BI, including dataset creation, semantic modeling, and dashboard optimization.
  • Collaborate with Enterprise Risk & Technology teams to uphold data standards, regulatory expectations and protection protocols.
  • Enforce change management protocols, ensuring deployments, enhancements and modifications follow approval workflows, documentation standards, testing processes and compliance requirements.
  • Mentor analysts, developers, and data users to elevate data literacy and engineering practices enterprisewide.
Education
  • Bachelor’s degree in computer science, data science, information technology, or a related field.
  • Master’s degree or relevant certifications (Azure, Data Engineering, Cloud Architecture) is a plus.
Technology Experience
  • 7+ years of progressive data engineering experience, preferably in banking, financial services, or regulated industries.
  • Deep expertise in Azure data services (ADF, Synapse, ADLS, Azure SQL) and strong familiarity with Microsoft Fabric.
  • Proven experience designing and integrating APIs, Logic Apps, Functions, SaaS systems, and modern cloud data architectures.
  • Advanced proficiency in SQL/TSQL and Python for data engineering, automation, and analytics.
  • Strong understanding of data modeling (dimensional, relational, domaindriven), warehousing concepts, and performance optimization.
  • Experience delivering enterprise BI solutions using Power BI, including models, datasets, and governance layers.
  • Background with DevOps practices including automated builds, testing, and deployments.
Qualifications
  • Demonstrated ability to translate complex enterprise data needs into scalable architecture and efficient engineering solutions.
  • Strong knowledge of data governance, metadata management, data lineage, and data quality frameworks.
  • Familiarity with AI/Machine Learning concepts and cloudenabled analytics tools (Azure ML, Fabric Data Science experiences).
  • Exceptional problemsolving, analytical, and criticalthinking abilities.
  • Effective communicator capable of engaging with executives, technical teams, and diverse business stakeholders.
  • Collaborative leader with an ownership mindset and a passion for innovation and continuous improvement.
  • Comfortable operating in a fastpaced, evolving environment where enterprise data capabilities are growing rapidly.

Compensation: A goodfaith, reasonable estimate of the base salary range for this role is $165,000 to $195,000 per year and the actual offer will depend on factors such as experience, skills, training, certifications, and education.

This base salary reflects one component of our competitive compensation package. This position may be eligible for an annual bonus and includes a comprehensive benefits package.

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