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Senior Data Engineer, Digital Content & Design

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

Team & Role

This role is part of the Content Operations & Experiences team (COE), which empowers the Digital Content & Design (DCD) organization with tools and resources to create and manage content experiences. As a member of the Analytics team within COE, you will provide comprehensive analytics to make data-driven decisions which help build delightful and trusted content experiences that make our customers successful. You will work closely with product content management, content architects, writers, editors, product development, design, user research, program management, product content engineering and other partners to develop and deliver analytics products and insights.

With a combination of exceptional analytical skills, an insatiable curiosity, and an entrepreneurial “get stuff done” mindset, you’ll help us better understand our users, customers, partners, and products, and drive important changes that will shape the future of ServiceNow.

What you get to do in this role:

  • Develop and maintain scalable ETL/ELT pipelines and processes to support analytics and reporting needs.
  • Build and optimize data models and schemas to enable efficient storage and retrieval for business intelligence use cases.
  • Maintain and enhance database performance to ensure reliability and accuracy in business reporting.
  • Automate manual data processes to achieve seamless and faster month-end, quarter-end, and annual business reporting.
  • Collaborate across multiple data teams to meet analytics and engineering deliverables.
  • Support the creation of datasets and infrastructure needed for dashboards, visualizations, and advanced analytics.
  • Ensure the security, scalability, and performance of data pipelines and storage systems.

Qualifications

Basic Qualifications (Must-Have):

  • 3+ years of experience in data engineering, data warehousing, or related areas.
  • Proficiency in SQL and Python, with experience in building and maintaining ETL/ELT pipelines.
  • Solid understanding of database technologies, including Snowflake and SAP Hana.
  • Experience in automating manual data processes and improving performance and efficiency.
  • Ability to effectively prioritize and manage multiple deliverables to meet deadlines.

Preferred Qualifications (Nice-to-Have):

  • Experience with web analytics tools such as Adobe Analytics or Google Analytics.
  • Familiarity with modern web development languages or frameworks (Java, JavaScript, NodeJs, ReactJS, AngularJS, etc.).
  • Knowledge of SaaS and subscription business models.
  • Understanding of agile project management and best practices in data engineering.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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. Learn more here.

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. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 

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What You Should Know About Senior Data Engineer, Digital Content & Design, ServiceNow

If you're ready to take your career to the next level, ServiceNow has an exciting opportunity for a Senior Data Engineer in Digital Content & Design. Based in the beautiful America Free Zone in Heredia, Costa Rica, you'll join our innovative Content Operations & Experiences team and play a vital role in our Analytics team. Here, you'll be providing in-depth analytics that drive data-driven decisions and help create amazing content experiences for our customers. You’ll be building and optimizing ETL/ELT pipelines and data models with the latest technologies like SQL and Python. Your work will ensure reliable data storage and performance, helping us automate processes to make reporting faster and more efficient. Collaborating is key—you'll work closely with content architects, writers, and product development teams to provide valuable insights that shape our products. At ServiceNow, we believe in empowering our employees, and we encourage a curious mindset along with a passion for getting things done. If you have a background in data engineering and love analyzing data, this is your chance to shine. Join us in making the world work better for everyone!

Frequently Asked Questions (FAQs) for Senior Data Engineer, Digital Content & Design Role at ServiceNow
What are the primary responsibilities of a Senior Data Engineer at ServiceNow?

As a Senior Data Engineer at ServiceNow, your main responsibilities will include developing and maintaining scalable ETL/ELT pipelines, building and optimizing data models, enhancing database performance, automating manual data processes, and collaborating with various data teams to meet analytics deliverables. The goal is to support analytics and reporting needs effectively.

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What qualifications are necessary for the Senior Data Engineer position at ServiceNow?

To qualify for the Senior Data Engineer position at ServiceNow, you should have a minimum of 3 years of experience in data engineering or related fields. Proficiency in SQL and Python is essential, along with experience in building ETL/ELT pipelines and a solid understanding of database technologies like Snowflake and SAP Hana. The role also requires skills in automating data processes.

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Can someone without all qualifications apply for the Senior Data Engineer job at ServiceNow?

Absolutely! ServiceNow values inclusivity and welcomes candidates from diverse backgrounds. If you’re passionate about data engineering and have unique experiences, we encourage you to apply even if you don't meet every single qualification.

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What tools and technologies should a Senior Data Engineer at ServiceNow be familiar with?

A Senior Data Engineer at ServiceNow should be proficient in SQL and Python and have experience with database technologies like Snowflake and SAP Hana. Familiarity with web analytics tools like Adobe Analytics or Google Analytics, as well as modern web development languages such as Java and ReactJS, can be beneficial.

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Does ServiceNow prioritize remote work for the Senior Data Engineer role?

Yes, ServiceNow offers flexible work personas for its employees, allowing for remote, hybrid, or in-office work depending on the nature of the job. This flexibility creates a trusting environment, making it easier for employees to manage their work-life balance.

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Common Interview Questions for Senior Data Engineer, Digital Content & Design
Can you describe your experience with developing ETL/ELT pipelines in previous roles?

When answering this question, focus on specific projects where you successfully designed and implemented ETL/ELT pipelines. Discuss the technologies you used, challenges you faced, and the impact of your work on overall business intelligence and reporting.

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How do you ensure the performance and reliability of data pipelines?

Talk about your methodology for monitoring data pipeline performance, including any tools or logging practices you implemented. Give examples of times when you proactively addressed performance issues to enhance data reliability.

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What SQL optimizations have you applied in your past projects?

Be prepared to discuss specific SQL queries you've optimized, the techniques you used, and the results you achieved. Highlight how your optimizations improved query performance and supported better reporting outcomes.

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How do you handle collaboration with cross-functional teams?

Explain your approach to cross-team collaboration, emphasizing communication skills, negotiation tactics, and how you align goals with stakeholders from different areas like content management and product development.

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Can you explain a challenging data problem you encountered and how you solved it?

Choose a relevant challenge that showcases your critical thinking. Describe the problem, your analysis process, the solution you implemented, and the results of your actions.

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What strategies do you use for automating data processes?

Discuss the specific technologies or methodologies you have used for automation, and provide examples of how your strategies have improved performance and reduced manual efforts in reporting.

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What is your understanding of agile project management in data engineering?

Outline your experience working in agile environments, focusing on your understanding of sprints, stand-ups, and how you adapt your engineering practices to an agile framework to enhance project delivery.

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How do you prioritize your workloads when you have multiple deadlines?

Share your techniques for prioritization, such as using tools or methods like the Eisenhower Matrix. Illustrate how you've successfully managed competing tasks and met targets in past roles.

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What are your experiences with data security and compliance in your engineering work?

Elaborate on your awareness of data security protocols and compliance standards pertinent to database management, including how you've implemented security measures in your previous positions.

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How do you stay updated with emerging technologies in data engineering?

Discuss your approach to ongoing learning through professional development, attending workshops, following industry trends, or engaging with communities dedicated to data engineering.

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CULTURE VALUES
Inclusive & Diverse
Mission Driven
Rise from Within
Diversity of Opinions
Work/Life Harmony
Empathetic
Feedback Forward
Take Risks
Collaboration over Competition
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Paid Time-Off
Maternity Leave
Equity
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 9, 2025

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