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Senior Data Engineer - Remote
Splunk Los Angeles, CA
Full Time | IT Outsourcing & Consulting 7 Months Ago
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Splunk is Hiring a Remote Senior Data Engineer - Remote

Ready to shake things up? Join us as we pursue our disruptive new vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people who are passionate about our product and strive to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun, and most meaningfully to each other’s success. We continue to be on a tear while enjoying incredible growth year over year. Learn more about Splunk careers and how you can become a part of our journey!

Role:

The Senior Data Engineer will be involved in building data pipelines at a large scale to enable business teams to work with data and analyze metrics that support and drive the business. You will partner with cross functional teams to identify opportunities and continuously develop and improve processes for efficiency.

The team is looking for a Senior Data Engineer who can architect and build solutions across multiple data sources to deliver metrics/reporting use cases. This position is responsible to build and scale the data platform that works to provide business analytics. The role involves ownership and technical delivery, working closely with other members (BI engineers and Infrastructure teams plus other data roles, including Data Governance, Quality, and Architecture Stewards). Strong technical experience within enterprise software is essential.

Responsibilities:

  • Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization and advanced business intelligence
  • Leading data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects
  • Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction
  • Identify and document standard methodologies, standards, and architecture guidelines
  • Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery
  • Identify ways to improve Data Reliability, Data Efficiency and Data Quality

Required Qualifications, Skills & Experience:

  • 7 years of data engineering related experience such as data analysis, data modeling, and data integration.
  • Experience with GTM and customer success business processes and applications
  • Experience in custom ETL design, implementation, and maintenance
  • Strong knowledge of programming languages (e.g. Python and Object Oriented Programming)
  • Hands-on experience with SQL database design
  • Familiarity with Learning/LMS data (e.g., Cornerstone/SABA) is desired
  • Experience working on CI/CD processes and source control tools such as GitHub and GitLab
  • Experience working Snowflake and relational databases
  • Extensive hands-on experience in leading large-scale full-cycle cloud enterprise data warehousing (EDW) implementations like Snowflake
  • Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle
  • Experience with or exposure to data governance & quality principles and practices
  • Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization
  • Passionate about data solutions, technologies, and frameworks

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. 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. Click here (https://careers.jobvite.com/Splunk/EEO_poster.pdf) to review the US Department of Labor’s EEO is The Law notice. Please click here (https://drive.google.com/open?id=1vh3OeJmpd3C8hzvm7OPdkLFIZ3EptFiD) to review Splunk’s Equal Employment Opportunity Policy Statement.

(Colorado only*) Minimum base salary of $115,000.00. You may also be eligible for incentive pay equity benefits.*Note: Disclosure per sb19-085 (8-5-201 et seq).

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

POST DATE

09/10/2022

EXPIRATION DATE

10/07/2022

WEBSITE

splunk.com

HEADQUARTERS

SEATTLE, WA

SIZE

7,500 - 15,000

FOUNDED

2003

TYPE

Public

CEO

AARON LEWIS

REVENUE

$1B - $3B

INDUSTRY

IT Outsourcing & Consulting

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About Splunk

Splunk is a California-based Software-as-a-Service platform for searching, monitoring and analyzing machine-generated big data via a web-style interface.

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The following is the career advancement route for Senior Data Engineer - Remote positions, which can be used as a reference in future career path planning. As a Senior Data Engineer - Remote, it can be promoted into senior positions as a Database Engineer III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer - Remote. You can explore the career advancement for a Senior Data Engineer - Remote below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

Butler University
Carroll College
Cooper Union
High Point University
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Providence College
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