Data Engineer @ Splunk | Simplify Jobs

Description

Splunk is here to build a safer and more resilient digital world. The world’s leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it’s our people that make Splunk stand out as an amazing career destination and why we’ve won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you!

Role:

Are you a business focused engineer looking for a role where you can use your analytical and engineering skills? Do you enjoy ‘digging into the data’, mining for understanding, and finding ways to positively impact business performance? Do you have hands-on experience working with cloud-based data warehouses like Snowflake? Have you used DBT to implement analytics using SQL? Are you familiar with using Python to assist with data orchestration services?

If so, Splunk is looking for a passionate data engineering candidate to play a highly visible role in helping us support our growing GTM Business. As a data engineer within Enterprise Applications Transformation Office, you will work with our team’s data systems analysts, IT, Finance, Sales, and CX to help drive operational excellence and performance insights across the organization and help in integrating Cisco and Splunk. To democratize, maintain, optimize, and grow our GTM analytics you will need to have excellent attention to detail, engage with internal business partners in a highly effective way, apply software engineering best practices to analytics code, and transform data into actionable insights.

What you’ll get to do:

Design and develop go to market analytics using dbt, Snowflake, and Python.
Coordinate production analytics deployments with the Analytics Data Platform Team and downstream dashboard delivery with the Tableau engineering team.
Develop a deep hands-on understanding of our data and benchmarking
Understand the broader data management strategy and landscape at Splunk to ensure our team’s current and future development is in alignment.
Finding practical ways to bring together data and insights to monitor and diagnose the performance of the business.
Identifying opportunities to improve systems, process, and data, eliminate gaps in performance insight and bring accurate and timely information to bear.
Lead documentation efforts to provide a single source of truth for GTM metrics across the company.
Blending the energy of immediate needs for tactical data with helping support and direct longer term, scalable strategies for the business’s operational and analytical needs.
Working cross functionally with adjacent operations and analytics and business alteration teams to integrate data, process and metrics requirements into wider corporate initiatives
Passionate about driving Splunk’s Cloud/Term renewal strategy, including supporting target setting, coverage modeling, capacity planning and forecasting in collaboration with CSMs, Renewals, Sales, Sales Operations and Finance.
Overall, being a partner to the business, understanding and prioritizing work based on the insight it can deliver to positively and directly impact Splunk’s bottom line.

Must-have qualifications:

Bachelor’s degree is required; a bonus if your academic background is in a numerate subject area (Mathematics, Computer Science, Stats).
5+ years of practical, current, hands-on knowledge of data management and analytics solutions including Snowflake, DBT, SQL, and Python.
Experience working with Gitlab or an equivalent version control system
Deep understanding of data engineering, architecture, and systems to help identify the best tools and best practices for the job
Highly organized and experienced using JIRA to maintain work visibility to manager and teammates
Proven grasp of SaaS and/or Enterprise Sales business model with understanding of customer life span measures and revenue streams.
Familiarity with Enterprise Sales Infrastructure, such as Salesforce.com, Sales & Renewals Management/Recurring Revenue Management concepts such as contracts, entitlements, subscriptions, and opportunities.
Excellent verbal and written communication skills, including effective listening; composing clear, concise correspondence, internal policies, procedures, presentations, and reports.
Possess a keen business insight with the ability to handle, survey and supervise data for an experienced and often complicated process.
You should have impressive analytical skills and can accurately summarize and present multiplex principles to an external crowd.
Demonstrable ability to build, document, implement, measure and enhance processes and procedures.
Ability to effectively prioritize within elaborate business structures; thrives when working in a fast paced, high-growth, results driven environment.

Preferred Qualifications:

Hands-on experience with Tableau for data visualization.

What We Offer You:

A constant stream of new things for you to learn. We’re always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.
A set of extraordinarily hardworking, innovative, open, fun and dedicated peers, all the way from engineering and QA to product management and customer support.
Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
A stable, collaborative and supportive work environment!

Splunk is an Equal Opportunity Employer

At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

Note:

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $146,400.00 - 201,300.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $131,760.00 - 181,170.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $117,120.00 - 161,040.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk’s Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at splunk.com/benefits.

Thank you for your interest in Splunk!

Data Engineer

US Remote Available

Splunk

Compensation Overview

Description

Role:

What you’ll get to do:

Must-have qualifications:

Preferred Qualifications:

What We Offer You:

Splunk is an Equal Opportunity Employer

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