PDF was recognized by Forbes as one of America's Best Small Employers for 2023. This ranking highlights only 300 companies out of 10,000 that were considered in the Forbes nationwide analysis and PDF solutions ranked 55! The results are based on an employee satisfaction survey as well as a social listening analysis of employee feedback conducted by a Forbes research firm.
Join us as a Senior Data Visualization Developer and forge the future of our visualization platform. This is an invitation to push the boundaries of conventional data presentation, leveraging the power of open-source tools. You'll engineer solutions that captivate audiences, effortlessly reveal patterns, and spark impactful business actions.
Responsibilities

• Craft Immersive Visualizations: Design and deploy sophisticated, scalable visualizations that

seamlessly handle complex, dynamic datasets. Transform raw data into clear and engaging visual
stories.

• Harness AI/ML Power: Collaborate with data scientists to embed AI/ML models into your

visualizations, unlocking predictive capabilities that supercharge strategic business decisions.

• Uphold Data Integrity: Become a champion of data quality, governance, and rigorous ETL/ELT

practices. Ensure visualizations remain accurate and trustworthy reflections of the underlying
data.

• Cultivate Data Visualization Excellence: Act as a mentor and an inspiration, sharing your

expertise to elevate the team's proficiency in open-source data visualization techniques and
principles.

• Design Insightful Experiences: Design and build interactive dashboards and reports, integrating a

wide range of open-source visualization libraries (D3.js, Vega, Plotly, etc.) and complementary
data analysis tools (e.g., Apache Superset, KNIME, Jupyter, Orange, Pentaho, ELK stack, etc.).

• Become a Data Whisperer: Master the art of data preparation, cleansing, and transforming data

specifically for compelling visual analysis.

• Navigate Hybrid Environments: Demonstrate expertise in cloud (AWS, Azure, GCP) and onpremise solutions, optimizing data architectures for scalability and adaptability.

Qualifications

• Education & Experience: Bachelor's degree (or higher) in Computer Science, Data Science, or a related field.
• A minimum of 8 years of hands-on data visualization development experience, with a demonstrable track record.
• Open-Source Mastery: Deep expertise in open-source data visualization libraries (D3.js, Vega, Plotly, etc.) and a strong working knowledge of data analysis and workflow tools (e.g., Apache Superset, KNIME, Jupyter, Orange, Pentaho, ELK Stack, etc.).
• Analytical Visual Thinker: Proven ability to creatively solve data challenges with impactful visualization solutions that balance aesthetics and clarity.
• Collaborative Leader: Experience leading or mentoring junior engineers, with excellent communication and cross-functional collaboration skills.

Pay Range USD $140,000.00 - USD $165,815.00 /Yr.