Staff Data Engineer

Posted Yesterday
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Hyderabad, Telangana, IND
Hybrid
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Designs scalable data infrastructure, production pipelines, transformation systems, and automated agentic AI evaluation platforms. Defines ground-truth standards, evaluation metrics, quality gates, dashboards, and reproducible datasets for AI workflows. Partners across product, engineering, and data science teams, troubleshoots reliability and data quality issues, drives continuous improvement, and mentors junior engineers.
Summary Generated by Built In
Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

 

Job Description

  • Design & Architect Data Infrastructure — Design and oversee deployment of data architecture and pipelines to capture, manage, and store structured and unstructured data from internal and external sources; establish processes and data flows using cloud, local databases, and applicable storage forms
  • Build & Automate Data Transformation — Develop technical tools using ML and data-engineering techniques to cleanse, organize, and transform data; implement automated processes to maintain data structure integrity and quality standards on an ongoing basis
  • Define Agentic Evaluation Metrics & Ground Truth — Partner with product and AI teams to define evaluation metrics for agentic workflows (task completeness, tool use, workflow success); establish ground truth labeling standards and validation criteria; design evaluation datasets that reflect real-world agent execution
  • Build Agentic Evaluation Pipelines — Design and implement automated evaluation infrastructure that measures AI agent performance using Now LLM Service models and execution logs; create dashboards, reporting, versioning, and reproducibility of evaluation datasets and results
  • Establish Standards & Continuous Improvement — Create design standards and quality assurance processes for data systems; define quality gates and validation frameworks; analyze workflow performance and recommend optimizations to accommodate evolving CRM AI requirements
  • Lead Cross-Functional Collaboration — Collaborate with product, engineering, and data science teams; mentor junior engineers on data engineering and evaluation design; generalize evaluation patterns and metrics across Agentic AI products

Qualifications

  • 9+ years designing and building production data pipelines, data warehousing, ETL/ELT systems; strong expertise in SQL, Python, Javascript or equivalent, and distributed data processing
  • 3+ years working on ML systems, model validation infrastructure, automated testing, or AI-powered applications; hands-on experience with data quality, feature engineering, and model monitoring
  • Proven track record deploying, monitoring, and maintaining large-scale data systems in production; experience troubleshooting data quality issues, latency, and system reliability
  • Ability to design scalable, secure data architectures; experience with cloud platforms (GCP, AWS), APIs, event-driven systems, and data governance patterns
  • Familiarity with AI/ML evaluation frameworks, LLM-based systems, or agentic workflows; ability to instrument and evaluate complex AI systems; understanding of model performance tracking.
  • Comfortable driving technical conversations across multiple teams; takes end-to-end ownership; works autonomously; mentors peers on data engineering standards and best practices
  • Experience on ServiceNow platform is good to have.

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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Skills Required

  • 9+ years designing and building production data pipelines, data warehousing, and ETL/ELT systems
  • Strong expertise in SQL, Python, JavaScript or equivalent, and distributed data processing
  • 3+ years working on ML systems, model validation infrastructure, automated testing, or AI-powered applications
  • Hands-on experience with data quality, feature engineering, and model monitoring
  • Experience deploying, monitoring, and maintaining large-scale production data systems
  • Experience with scalable and secure data architectures, cloud platforms such as GCP or AWS, APIs, event-driven systems, and data governance
  • Familiarity with AI/ML evaluation frameworks, LLM-based systems, or agentic workflows
  • Ability to lead cross-functional technical discussions, work autonomously, own outcomes, and mentor peers
  • Experience on the ServiceNow platform

What the Team is Saying

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ServiceNow Compensation & Benefits Highlights

  • Healthcare Strength Healthcare is described as comprehensive, with employer‑verified medical, dental, vision, life and disability coverage plus mental‑health support. Feedback suggests plan breadth and quality are a standout element of the package.
  • Leave & Time Off Breadth Time off options include flexible PTO, paid holidays, paid volunteer time, and additional company “Wellbeing Days.” Feedback suggests employees value the breadth of recharge time available.
  • Equity Value & Accessibility Ownership programs feature a 15%‑discount Employee Stock Purchase Plan alongside role‑based equity (e.g., RSUs) and performance bonuses. Feedback suggests these elements meaningfully lift total compensation beyond base pay.

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The Company
HQ: Santa Clara, CA
29,000 Employees
Year Founded: 2004

What We Do

As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.

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ServiceNow Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible
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