Data Engineer

We are seeking a Data Engineer to build and maintain X-Rite Pantone's data infrastructure, enabling data-driven decision making across our Software Engineering and Product organizations.

The role focuses on collecting, integrating, transforming, and exposing data from software development processes, digital products, cloud services, and connected measurement devices. This includes engineering metrics, product usage analytics, application telemetry, quality metrics, release information, customer workflows, and measurement data.

The successful candidate will work closely with software engineers, product managers, quality assurance engineers, application support teams, and data consumers across the organization to create scalable data platforms, reliable pipelines, and actionable insights.

Key Responsibilities

• Design, implement, and maintain scalable data pipelines and data lake architectures.

• Integrate data from software development tools, including source control systems, issue trackers, test systems, CI/CD pipelines, and release management platforms.

• Collect, process, and model telemetry, analytics, and measurement data generated by X-Rite Pantone software products and connected devices.

• Design and maintain data models that enable product analytics, engineering insights, and business reporting.

• Build and maintain dashboards and reporting solutions for engineering, product management, and leadership teams.

• Ensure data quality, consistency, reliability, and traceability across all data sources.

• Establish monitoring, alerting, and operational practices for data platforms and pipelines.

• Collaborate with product managers, software engineers, QA engineers, and data scientists to define and prioritize data requirements.

• Provide clean, well-documented, and consumable datasets for analytics, machine learning, and reporting use cases.

• Support data governance, security, and privacy requirements.

• Continuously improve data platform scalability, performance, automation, and developer experience.

Required Qualifications & Professional Knowledge

• Strong experience building and operating data pipelines and data processing systems.

• Proficiency in SQL and at least one modern programming language such as Python, C#, or Javascript/Typescript.

• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.

• Experience integrating data from APIs, databases, log streams, and cloud services.

• Experience working with cloud-based data platforms and storage technologies.

• Ability to analyze stakeholder requirements and translate them into robust technical solutions.

• Understanding of software development processes, including source control, CI/CD, issue tracking, testing, and release management.

• Strong analytical and problem-solving skills.

• Excellent verbal and written communication skills in English.

• Ability to collaborate effectively with global cross-functional teams.

Preferred Qualifications

• Experience with AWS data services, esp. Redshift and Glue

• Experience with Power BI or similar business intelligence platforms.

• Experience working with software engineering metrics, DevOps analytics, or engineering effectiveness initiatives.

• Experience processing telemetry, IoT, or device-generated data.

• Experience supporting machine learning or data science workflows.

• Familiarity with software development tools such as GitHub, Jira, Azure DevOps, or similar platforms.

• Experience working with DBT

• Experience working in geographically distributed teams.

Education & Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent practical experience.

• 3+ years of experience in Data Engineering, Software Engineering, Analytics Engineering, or a related technical role.

Personal Attributes

• Strong ownership mindset and accountability for outcomes.

• Data-driven approach to problem solving and decision making.

• Collaborative and pragmatic approach in a cross-functional global environment.

• High learning agility and passion for continuous improvement.

• Ability to balance short-term delivery with long-term platform sustainability.

• Ability to operate effectively in a distributed team with partial timezone overlap (India ↔ US/EU).

We recognize that people come with a wealth of experience and talent.  We believe in the value of unique perspectives, and we welcome candidates from diverse backgrounds who may not meet every criterion to apply and bring their distinctive experiences to our team.

X-Rite is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.  Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.  

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.