Sr Staff Data Engineer

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This position reports to: Director, Data Engineering and Data Science

ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before.  

As a member of the Product Operations Analytics team, you’ll focus on driving operational awareness to our Executive Team while partnering with leaders throughout ServiceNow to fundamentally improve how we run our business. With a combination of exceptional analytical skills, an insatiable curiosity, and an entrepreneurial “get stuff done” mindset, you’ll help us better understand our customers, partners, and products, and drive important changes that will shape the future of ServiceNow.

What you get to do in this role:

We are looking for a Rock Star with a winning track record in Big Data, Data Warehousing, Visualization and Data Web Services.  The Staff Data Engineer will be a core technical contributor to the team with deep expertise in manipulating and structuring large, complex datasets that feed central data warehouses.  S/he will be responsible for helping stand up and maintaining daily data transfer jobs, database structures, identifying data integrity issues, and developing documentation on data assets. The Staff Data Engineer will also work closely with ServiceNow data analysts and data scientists to help prep data for models and dashboards. 

The ideal candidate should have a background in Engineering, Statistics, Mathematics, Computer Science, equivalent quantitative field or related practical experience with an obsession on data quality. S/he should have an outstanding ability to foster relationships with staff across departments and be motivated to continuously achieve positive results.  Extensive understanding to the needs of data visualization is a must for this role.  S/he should also be able to effectively handle ad hoc requests and multitask with ease and little guidance.

Examples Of Day-to-Day Responsibilities
 

• Enforcing company data policies and procedures to ensure data quality and reduce discrepancies
• Securing approvals for data access based on business needs
• Developing scalable automated ETL jobs and maintain them
• Identify any data integrity issues and deep dive to find root cause
• Develop and manage Python and API calls to stand up master data sets and merge datasets across disparate systems
• Training analysts and data scientists alike on available data sources
• Ensuring very large databases and compute clusters operate optimally
• Implementing and maintaining database structures and governance
• Developing / maintaining documentation on databases and production tables
• Collaborating across the company’s multiple data teams to meet analytics deliverables

In order to be successful in this role, we need someone who has:

• Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience.
• 14+ years of experience in consulting, business intelligence, analytics, or an equivalent analyst position with advanced experience in SQL and an additional object-oriented programming language (e.g., Python, Java, JavaScript)
• Experience with Jenkins & Git a PLUS
• Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
• Proven track record for developing/maintaining performance optimized data models for production analytics
• Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs
• Passion for analyzing large and complex data sets and converting them into the information which drive business decisions
• Attention to detail, organization and effective verbal/written communication skills
• Experience in big data instances: Cloudera, Azure, Snowflake, and the like.
• Proven track record in rolling out self-service analytics solutions (e.g. Tableau Server Ask Data, etc)
• Solid decision making, negotiation, and persuasion skills, often in ambiguous situations
• Must be able to work in fast paced environment and be able to adapt to changing requirements.
• Understanding of technology development projects and the full technology development lifecycle

We provide competitive compensation, generous benefits and a professional atmosphere. This is a very collaborative and inclusive work environment where individuals strong on aptitude and attitude will have an opportunity to grow their professional careers through working with some of the most advanced technology and talented developers in the business. 

ServiceNow is an Equal Employment 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.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

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