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Data Visualization Engineer Jobs in Santa Clara, CA

Experience with data visualization tools and UI/UX design principles (e.g., Python, Tableau, Power ... Experience working cross-functionally with hardware engineers, software developers, and leadership ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

The team applies rigorous modeling, data visualization, and analytical techniques to deliver ... Guide and mentor team members on modeling techniques, feature engineering, and data analysis ...

Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps ... Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve ...

Senior Frontend Engineer

Palo Alto, CA · On-site

$140K - $210K/yr

About the Role We are currently seeking a Software Engineer with demonstrated data visualization skills to join our engineering team. Are you a full-stack programming ace? Can you build bespoke ...

* Data Analyst / Engineer * Sunnyvale, California * Contract - 6 + Months We are looking for a hands ... ThoughtSpot & Data Visualization * AI/ML, Agentic AI, DataRobot * Python, Excel, Numbers * Quip ...

Experience with data visualization tools and UI/UX design principles (e.g., Python, Tableau, Power ... Experience working cross-functionally with hardware engineers, software developers, and leadership ...

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking an AEP Lead Data Solutions Engineer to collaborate within the Adobe Experience ... data visualization tools. • Outstanding problem-solving skills and attention to detail. • ...

... integrity or visualization outcomes. * Solution Proposition : Offer informed solutions and ... Python programming for data analysis.

Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related ... Experience with data visualization tools like Tableau (hands-on experience) * Ability to ...

Create and improve data visualization tools like Tableau & ThoughtSpot * Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers * Experience presentation/project management ...

Data Engineer AI

Sunnyvale, CA · On-site

$105K - $110K/yr

Create and improve data visualization tools like Tableau & ThoughtSpot * Work with Snowflake & it's built in infrastructure, SQL, Python, Excel, & Numbers * Experience presentation/project management ...

Showing results 21-40

Data Visualization Engineer information

See Santa Clara, CA salary details

$52.3K

$152.3K

$208.5K

How much do data visualization engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data visualization engineer in Santa Clara, CA is $152,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

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 as a data visualization engineer, 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 popular job titles related to Data Visualization Engineer jobs in Santa Clara, CA? For Data Visualization Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in Santa Clara, CA look for? The top searched job categories for Data Visualization Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Data Visualization Engineer jobs? Cities near Santa Clara, CA with the most Data Visualization Engineer job openings:
Infographic showing various Data Visualization Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 100% In-person job distribution, with an average salary of $152,344 per year, or $73.2 per hour.

Staff Data Product Engineer

Blue Current

Hayward, CA

Full-time

Re-posted 22 days ago


Job description

Position Summary

Blue Current is seeking a highly motivated and hands-on Staff Data Product Engineer to lead the development and optimization of our internal database and Manufacturing Execution System (MES). This role is pivotal in bridging complex cell development data to actionable software solutions through mastery of data architecture, product ownership, and UI design. This role exists because the quality, accessibility, and analytical power of Blue Current's battery development and manufacturing data directly determines how fast the company can learn and make decisions. Operating with significant autonomy, the Staff Data Product Engineer defines the product roadmap for internal software, manages third-party developers who build and maintain these systems, and serves as the internal advocate who translates the needs of cell engineers, process engineers, and manufacturing teams into precise software requirements. Success means that every team at Blue Current has reliable, intuitive access to the data they need - and that the underlying systems are built to scale alongside the company. 

Essential Functions & Responsibilities

  • Design and oversee the development of intuitive user interfaces for battery data analysis, ensuring full database capabilities and robust metadata tracking for advanced performance analysis and rapid root cause analysis.
  • Lead product development for the internal database and MES, ensuring systems scale effectively from lab-scale R&D to pilot production.
  • Define detailed software requirements, user stories, and acceptance criteria for new features and capabilities, translating the needs of cell engineers, process engineers, and manufacturing teams into specifications that third-party developers can execute against 
  • Lead the product development roadmap, feature prioritization, and lifecycle management for the internal database and MES.
  • Collaborate on architecting robust database structures that accurately reflect complex material tracking, process data, and testing workflows.
  • Monitor and maintain data integrity across all systems, developing validation protocols and troubleshooting data pipeline failures as they arise.
  • Serve as the primary point of contact for internal troubleshooting, user training, and product documentation.

Minimum Qualifications

Education

  • PhD (with 3+ years of relevant experience), Master's (with 6+ years of relevant experience), Bachelor's (with 8+ years of relevant experience) in Computer Science, Data Science, Chemical Engineering, Materials Science, or a related field, or equivalent combination of education and industry experience

Experience

  • Hands-on experience acting as a product owner or product manager for internal software tools, databases, or MES platforms, with personal accountability for roadmap decisions and feature delivery.
  • Direct experience defining software requirements and managing external or third-party developers, including setting expectations, reviewing deliverables, and maintaining delivery timelines 
  • Proven understanding of battery performance testing, cell characterization, and typical battery data structures.
  • High proficiency in SQL database and experience querying complex relational databases to troubleshoot user issues or validate data integrity.
  • Experience with data visualization tools and UI/UX design principles (e.g., Python, Tableau, Power BI, or front-end web frameworks) sufficient to guide interface development and evaluate delivered work..
  • Experience working cross-functionally with hardware engineers, software developers, and leadership teams to advance programs

Skills & Knowledge

  • Solid understanding of typical battery performance metrics and testing protocols, familiarity with time-series data generated by standard cyclers (e.g., Arbin, BioLogic, Neware).
  • Knowledge of battery manufacturing data structures, particularly material genealogy, batch tracking, and process data mapping.
  • Ability to write comprehensive product requirements documents, user stories, and acceptance criteria tailored for internal engineering tools.
  • Proficiency in agile development methodologies, sprint planning, and backlog prioritization.
  • Familiarity with data visualization frameworks to guide UI development and dashboard layouts.
  • Demonstrated product ownership skills, with the ability to drive cross-functional alignment between software developers and battery engineers
  • Excellent problem-solving and communication skills, taking accountability to translate user challenges into actionable software requirements and strategic updates

Preferred Qualifications

  • Direct experience developing data infrastructure or MES platforms in a battery manufacturing or advanced materials R&D environment. 
  • Familiarity with data privacy and security considerations relevant to proprietary manufacturing and performance data in a competitive technology environment.
  • Experience scaling internal software systems from early-stage R&D use to pilot or high-volume manufacturing environments, where data complexity and user volume increase substantially.

Core Values - Minimum Qualifications

Safety & Security First

For employees, customers, and intellectual property

  • Demonstrated commitment to maintaining a safe and secure work environment, including adherence to workplace safety protocols, data privacy standards, and confidentiality requirements.
  • Proven ability to identify and appropriately escalate potential risks to personnel, customers, or sensitive information.

Trust & Respect

Treat everyone with honesty, dignity, and sensitivity. Embrace different perspectives. Be humble.

  • Demonstrated ability to communicate and collaborate effectively with individuals of diverse backgrounds, perspectives, and working styles.
  • Track record of maintaining professionalism, integrity, and discretion in all workplace interactions.

Ownership & Accountability

Take responsibility and action. Set goals and deliver. Don't wait for others.

  • Demonstrated ability to independently prioritize, execute, and follow through on responsibilities with minimal supervision.
  • Proven track record of setting measurable goals, meeting deadlines, and taking initiative to resolve challenges proactively.

Technical Excellence

Always strive for the best solution possible.

  • Demonstrated commitment to quality and continuous improvement in delivering work product, solutions, and outcomes within area of expertise.
  • Ability to evaluate options critically and apply sound judgment to identify the most effective and scalable solution.

Learn & Be Curious

Think outside the box. Always learning.

  • Demonstrated ability to quickly acquire new skills, tools, or domain knowledge in response to evolving business needs.
  • Proven track record of applying creative or unconventional thinking to solve problems.

Be Resourceful

Be hungry, frugal, and flexible. Use what you have. Find a way.

  • Demonstrated ability to deliver results in resource-constrained environments by maximizing existing tools, processes, and partnerships.
  • Proven ability to adapt and find effective solutions in ambiguous or rapidly changing situations.

Delight Customers

Build stronger relationships with internal and external customers.

  • Demonstrated commitment to understanding and exceeding the needs of internal and/or external customers.
  • Track record of building and maintaining strong, trust-based relationships that drive positive outcomes for all stakeholders.

Physical Requirements & Working Conditions

  • Primarily sedentary role; sitting at a computer workstation for the majority of the workday (approximately 6-7 hours per day)
  • Occasional lifting of items up to 15 lbs (e.g., laptops, printed materials)
  • Prolonged periods of focused screen-based work requiring sustained visual attention and concentration
  • Regular verbal and written communication with internal engineering teams and external software development partners
  • Occasional access to laboratory and manufacturing areas may be required; standard PPE protocols apply when entering these spaces