Senior Staff Data Engineer

About Digital Technology:

We’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.

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 Data & 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 Senior 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 Senior 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

Requirements

To be successful in this role you have:

• Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience.
• 7+ 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, Kafka, Spark)
• Experience with Jenkins, Git, Airflow, Matillion, Perspectium 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
• Proven track record for development of dimensional models
• Experience in dimensional model transformations from logical datasets a PLUS
• 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 semantic layer analytics solutions specific to Tableau, PowerBI, etc
• Knowledge in building tool agnostic semantic layer a PLUS
• 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

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For positions in California (outside of the Bay Area), we offer a base pay of $163,000 - $285,200, 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. For individuals who will be working in the Bay Area, there is a pay enhancement for positions located in that geographical area; please contact your recruiter for additional information.