Senior Data Engineer – Data Quality Engineering at ServiceNow

West Palm Beach, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

239200.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, JavaScript, Snowflake, ServiceNow, Data Modeling, ETL, Data Architecture, Data Governance, Data Quality, Problem-Solving, Collaboration, Automation, Data Validation, Integration, Performance Tuning

Industry

Software Development

Description

Company DescriptionIt all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.Job DescriptionWe’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.RoleWe are seeking a Senior Data Engineer to join our growing Data Quality Engineering team. In this role, you’ll focus on enhancing our Python-based frameworks, optimizing SQL queries, and improving data access and performance within both the Snowflake and ServiceNow platforms. You’ll also leverage JavaScript and related scripting tools to support automation, data validation, and integration workflows across systems. As a Senior Data Engineer, you will design and implement scalable, high-performance data models and pipelines that power analytics, dashboards, and data science initiatives across the organization. You’ll collaborate closely with data analysts, product managers, and fellow engineers to build reliable data solutions that enable business-critical insights and product telemetry analytics. What you get to do in this role:Develop and maintain robust Python frameworks for data processing, quality validation, and automation. Write and optimize complex SQL queries for performance and scalability on the Snowflake platform. Integrate and manage data workflows between ServiceNow, Snowflake, and other enterprise systems. Utilize JavaScript for scripting, automation, and ServiceNow data management or customization tasks. Design and implement efficient, scalable data models that enable analytics and reporting across business functions. Collaborate with cross-functional teams to deliver data-driven insights and ensure data quality and reliability. Monitor, troubleshoot, and tune data pipelines and systems for optimal performance and cost efficiency. QualificationsTo be successful in this role you have:Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Strong proficiency in Python and SQL, with hands-on experience in performance tuning. Working knowledge of JavaScript, particularly for ServiceNow scripting and automation. Experience with Snowflake and ServiceNow data models, APIs, and integration frameworks. Solid understanding of data modeling, ETL/ELT pipelines, and data architecture best practices. Familiarity with data governance and data quality frameworks. Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. #DTjobsJV20For positions in this location, we offer a base pay of $140,700 - $239,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.Additional InformationWork PersonasWe approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.Equal Opportunity EmployerServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. AccommodationsWe strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control RegulationsFor positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

The Senior Data Engineer will enhance Python-based frameworks, optimize SQL queries, and improve data access and performance within Snowflake and ServiceNow. They will design and implement scalable data models and pipelines that support analytics and data science initiatives.