Employee Success Senior Data Engineer, Salesforce
$151.8-208.8k
Salary benchmarked for candidates based in WA, may vary in other locations
World's leading CRM provider
Job no longer available
World's leading CRM provider
1001+ employees
Job no longer available
$151.8-208.8k
Salary benchmarked for candidates based in WA, may vary in other locations
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- The right candidate will have strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines
- The candidate will also have strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, and strong project management skills
- Experience with Workforce & Total Rewards data and metrics is a huge plus
- Bachelor's Degree in Computer Science or a related discipline, with 7+ years related information systems experience in a data engineering, data modeling, automation and analytics. People Analytics experience preferable
- Proficiency with SQL, Bash and Python scripting is a must
- Proficiency using orchestration software like Apache Airflow
- Proficiency using GIT for code standardization and versioning
- Proficiency in foundational data warehousing concepts and data modeling
- Ability to interface across various technologies through API’s
- Experience with AWS technologies like ECS, Aurora, Lambda, S3, and Sagemaker preferred
- Experience using Snowflake and similar centralized data platforms
- Deep understanding of data engineering concepts, database designs, associated tools, system components, internal processes and architecture
- Experience working with Analytics/Data Science teams
- Team-first mentality. Excellent interpersonal skills in order to build strong relationships that will be critical for the success in this role
- Self-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines
- Must be results oriented and able to move forward without complete information and with minimal supervision
- Experience with data visualization tools like Tableau is a plus
- Experience working with globally distributed engineering teams preferred
- Experience with Human Resources technology and work is a plus
What the job involves
- Salesforce’s Employee Success (ES) function is looking to support the development & transformation of our data product footprint from our People Insights & Data Intelligence team
- A key pillar to this expansion is the development of a strong data foundation to support all of our core People Analytics needs across the ES landscape!
- We’re looking for an experienced data engineer to build data pipelines, metrics, and other products across all ES organizations, with particular regard to global rewards & talent
- In this role, you will work with business partners across ES functions to understand business needs, translate them to technical requirements, wrangle data from various systems, and design automated data pipelines to drive insights
- You will work with internal technology groups to automate the data collection and definition process
- Actively develop, enhance and maintain data pipelines and workflows for marketing data and metrics
- Work with ES teams across the organization and build data metric requirements, build quick POC’s, document functional and technical requirements
- Develop ETL pipelines from a variety of HR and other Enterprise systems through the use of
- Maintaining, deploying and code versioning the ETL process
- Help in building POC solutions for new ES metrics & Data Products
- Design & develop easy, repeatable and reusable automation data frameworks
- Responsible for end-to-end data management activities, including but not limited to identify fields, data lineage and integration, performing data quality checks, analysis and presenting data
- Review and validate logical and physical design to ensure alignment with the defined solution architecture
- Evaluate, determine root cause, and resolve critical issues
- Collaborate with data scientists to support data needs and develop scalable architecture to deploy models
- Work and collaborate with global teams across North America, EMEA and APAC
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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