Senior Data Engineer, Workday
$112.9-169.4k
Enterprise management cloud platform
Open for applications
Enterprise management cloud platform
1001+ employees
Open for applications
$112.9-169.4k
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- An ideal candidate will have extensive knowledge of the modern data platforms (data lakehouse, data vault, data mesh) and should be able to craft database solutions using the latest tools and Open-source frameworks
- 8+ years of experience building scalable data solutions for very large scale Data Lakehouse, Data Warehouse, Data Quality, Data Analytics/BI, Data Enrichment, Data Integration/ETL, Data Security, Data Governance and Data Engineering Projects
- 8+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
- 5+ years experience working with Snowflake cloud data warehouse and/or Databricks lake houses
- 5+ years of experience in one or more programming languages for processing of large data sets, such as Python and/or Scala
- Build reliable, efficient, testable, & maintainable data pipelines
- Design and Develop data pipelines using Metadata driven ETL Tools and Open-source data processing frameworks
- Solid understanding of database structure systems and data mining. Ability to build enterprise data models, star and snowflake schemas for data consumption
- Experience with SQL and NoSQL databases. Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
- Expertise in working in a high paced Agile team with excellent verbal communication and collaboration skills. Should be familiar with Jira and other collaboration tools
- Ability to mentor, guide, and lead engineers in the team
- Excellent organizational and analytical abilities
- Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) for automating infrastructure provisioning and management
- Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools
- Experience developing low latency data processing solutions like AWS Kinesis, Apache Kafka, Apache Spark Stream processing and other Data Integration tools
- Bachelor’s degree or higher in Computer Science or Engineering or related
What the job involves
- Our Business Technology Data Services team is currently looking for a Sr. Data Engineer that enables self-service business intelligence and advanced analytics teams (Marketing, Sales, Finance and Services) to explore outliers, build scalable data lakehouse and data vault systems that differentiate us from our competition.
- You will work closely with other team members like enterprise architects, domain solution architects, technical leads, and business analysts to understand what the business is trying to achieve, move data from source to target, and craft efficientdata models.
- This hands-on technical role demands excellent knowledge and can demonstrate standard processes in the industry
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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