Senior Staff Data Engineer, ServiceNow

$163-285.2k

Salary is applicable to candidates in California (outside of Bay Area) + variable/incentive compensation. 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

SQL

JavaScript

Python

Tableau

Java

Kafka

Airflow

Jenkins

Azure

Spark

Snowflake

Semantic

Git

Senior and Expert level

Remote from Canada, US

Cloud-based digital workflows for enterprises

Job no longer available

Cloud-based digital workflows for enterprises

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Job no longer available

$163-285.2k

SQL

JavaScript

Python

Tableau

Java

Kafka

Airflow

Jenkins

Azure

Spark

Snowflake

Semantic

Git

Senior and Expert level

Remote from Canada, US

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Company mission

To transform IT to revolutionise the enterprise.

Job

Company

Role

Who you are

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
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

What the job involves

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
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
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

Our take

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.

Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.

The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.

The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

16% employee growth in 12 months

Glassdoor (4.3)

Trustpilot (2)

Company

Funding (last 2 of 6 rounds)

Mar 2012

$11m

GROWTH EQUITY VC

Feb 2012

$17.9m

GROWTH EQUITY VC

Total funding: $83.8m

Company benefits

Commuter benefits
Annual learning stipends
Work from home opportunities
Generous family leave
Matched donations
Flexible PTO
401(k) matching
Paid volunteer time

Company HQ

Santa Clara, CA

Leadership

Fred Luddy

(Founder & Chairman Of The Board)

Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.

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