Jobs
Required Skills
SQL
Data Conversion
ETL
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to improve with a focus on the value we deliver to our customers. We work closely with people to acquire fast feedback and achieve the right outcomes.
About the Role
A member of Workday’s Professional Services organization, the Technical Consultant is passionate about the implementation of our cloud based Human Resources, Financial Management and Student Information Systems. This role works closely with the customer’s project team to design, develop and deploy solutions for one or more of the following focal areas: Data Conversion, Functional, Reporting and Analytics.
Workday is looking for a Consultant who has complete project lifecycle experience in a data conversion role. Experience with packaged HRMS/Financial systems is strongly desirable. The consultant directly connects with customer and project team specialists to design and execute highly strategic data conversion data loads for Workday implementations. This role provides consultancy on extraction, transformation and executes loading of legacy data via various integration products, tools, and services, to ensure the successful deployment of our customers’ data into the Workday tenant.
About You
About You
Basic qualification
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3+ years of data conversion technical experience for enterprise software applications
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Workday Experience preferred
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Hands on SQL skills
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Functional experience in HCM or Financials or Student modules
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Financial systems domain experience is preferred
Other qualification
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Self-motivated professional with strong follow-through, who consistently keeps commitments to customers and fellow employees
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Can work in a fast paced, fast-growth, high-energy environment and execute multiple high priority activities concurrently
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Hands-on experience with ETL software, Microsoft Excel
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Familiarity with web services and an appetite to learn more
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Passion for data accuracy and completeness
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Strong analytical and problem solving skills both technically and functionally
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Outstanding research skills and resourcefulness
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Strong planning, scheduling, and organization skills
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Collaborative teammate who can communicate effectively with all stakeholders
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
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About Workday

Workday
PublicWorkday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.
10,001+
Employees
Pleasanton
Headquarters
Reviews
2.6
15 reviews
Work Life Balance
3.0
Compensation
4.0
Culture
2.5
Career
2.8
Management
2.2
25%
Recommend to a Friend
Pros
Competitive compensation packages
Principal/senior level opportunities available
AI/technology focus areas
Cons
Major layoffs (8.5% workforce reduction)
Age discrimination lawsuit regarding AI hiring tools
Proprietary Xpresso language is difficult and non-transferable
Salary Ranges
2 data points
Junior/L3
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P2
0 reports
$130,000
total / year
Base
-
Stock
-
Bonus
-
$110,500
$149,500
Interview Experience
9 interviews
Difficulty
3.9
/ 5
Duration
14-28 weeks
Experience
Positive 11%
Neutral 11%
Negative 78%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Director Interview
5
Team Interviews
6
Offer Decision
Common Questions
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Management/Leadership
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