Senior Data Engineer at ServiceNow

West Palm Beach, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Snowflake, Python, ETL, ELT, Data Modeling, Analytics, Performance Tuning, Data Quality, Collaboration, Automation, Data Governance, Version Control, Problem Solving, Business Intelligence

Industry

Software Development

Description

Company Description It 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 Description We are looking for a Senior Data Engineer to join our growing data engineering team. This role will focus on front-end data modeling, query performance tuning, and optimizing data access patterns on the Snowflake platform. You’ll play a key role in designing efficient, scalable data structures that enable analytics, dashboards, and data science use cases across the organization. You’ll collaborate closely with data analysts, product managers, and data engineers to deliver high-performance data models that power business-critical insights and product telemetry analytics. What You’ll Do Design, build, and maintain optimized data models for analytics and reporting use cases in Snowflake for AI and Value Projects Partner with data consumers to translate business needs into performant SQL transformations and reusable datasets. Conduct query performance tuning, warehouse optimization, and data partitioning to improve speed and efficiency. Develop and automate data quality checks to ensure accuracy, completeness, and reliability. Collaborate with backend engineers on ingestion and transformation pipelines, ensuring smooth handoffs between ingestion and modeling layers. Contribute to best practices for data governance, documentation, and code reviews within the data engineering organization. Write clean, modular, and testable SQL and Python code to support data workflows and automation. Qualifications To 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. 5+ years of experience as a Data Engineer or similar role. Strong proficiency in SQL (complex queries, performance tuning, window functions). Hands-on experience with Snowflake (warehouse management, query profiling, caching strategies). Proficiency in Python for scripting, automation, and data manipulation. Experience working with BI or analytics teams to design and maintain data models for dashboards or self-service analytics. Solid understanding of ETL/ELT best practices, including orchestration tools such as Airflow or Jenkins. Familiarity with version control (Git) and collaborative development workflows. Strong problem-solving skills and the ability to communicate technical concepts effectively to non-technical audiences. Nice to Have Experience with Matillion, DBT, or other ELT frameworks. Exposure to data observability tools or performance monitoring frameworks. Understanding of usage telemetry, application logging, or customer behavior analytics. Why Join Us Work on mission-critical data that drives analytics, AI, and customer insights for global-scale products. Collaborate with a team that values data quality, reliability, and engineering excellence. Opportunity to own high-impact data models end-to-end and influence data architecture decisions. Supportive environment for growth, innovation, and continuous learning. JV20 Additional Information Work Personas We 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 Employer ServiceNow 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. Accommodations We 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 Regulations For 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

Design and maintain optimized data models for analytics and reporting use cases in Snowflake. Collaborate with data consumers to translate business needs into performant SQL transformations and reusable datasets.