Senior Data Engineer

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

What you get to do in this role:

• Develop re-usable, consistent, best in class dimensional data models to power use cases across the GTM spectrum - sales, partner, marketing and customer
• Develop scalable automated ETL/ELT jobs in Snowflake, to build and maintain these data models
• Use machine learning techniques to develop predictive metrics (Python is a must) and test those in an Azure ML environment
• Write proficient SQL queries and Python code to stand up master data models from raw data sources across disparate systems
• Identify any data integrity issues and deep dive to find root cause
• Enforce company data policies and procedures to ensure data quality and reduce discrepancies
• Secure approvals for data access based on business needs
• Train analysts and data scientists alike on available data sources
• Ensure very large databases and compute clusters operate optimally
• Implement and maintaining database structures and governance
• Develop / maintaining documentation on databases and production tables
• Collaborate across the company’s multiple data teams to meet analytics deliverables

Qualifications

To be successful in this role you have:

• 5+ years of core data engineering position with advanced experience in SQL and Snowflake is a must
• Advanced scripting skills : R, SAS, Python
• Experience with developing ML models is a plus
• Experience with Azure ML, Azure ML Pipelines, Databricks is a must
• Sales GTM domain expertise in an Enterprise SaaS company is a must
• Data Science Expertise
• Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
• 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
• 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

JV20

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For positions in the Bay Area, we offer a base pay of $133,300 - $226,700, 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 (subject to eligibility requirements). Co