Workday Data Engineer / SQL Consultant

Overview

Remote
On Site
$60 - $65 hourly
Contract - W2
Contract - Temp

Skills

Data Extraction
Inventory Control
Workflow
SQL
Data Flow
Workday
Data Modeling
Snow Flake Schema
Database
ADF
Microsoft Azure
Orchestration
Healthcare Information Technology
Conflict Resolution
Problem Solving
Data Structure
Communication
Collaboration
Machine Learning (ML)
Data Engineering
Reporting
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
A client with Kforce is seeking a Workday Data Engineer/SQL Consultant to join their team in Orlando, FL. This person must be local, but the manager is open to remote.

Duties Include:
* Support Workday data extraction and reporting efforts
* Write and optimize complex SQL queries to locate, transform, and load Workday data into Snowflake
* Assist in building and orchestrating data pipelines using Azure Data Factory (ADF)
* Generate files and reports from Snowflake for downstream systems
* Collaborate with internal teams to understand Workday's data model and identify where data resides
* Support data curation efforts for Parcor inventory control tower by integrating data from multiple systems into Snowflake
* Contribute to Snowflake orchestration and data flow design
* Optional: Explore opportunities to apply AI to improve data workflows and reporting efficiency

REQUIREMENTS:
* Strong SQL expertise: Ability to write performant queries and troubleshoot data issues
* Data engineering experience: Especially in environments with complex data flows and multiple source systems
* Workday familiarity: Not required, but a strong plus; Must be able to learn the Workday data model quickly with guidance
* Snowflake: Experience preferred, but candidates with strong database backgrounds who can ramp up quickly are welcome
* ADF (Azure Data Factory): Experience with orchestration and data movement pipelines
* Data curation: Understanding of how to structure and prepare data for reporting and integration
* Self-starter who can hit the ground running with minimal handholding
* Strong problem-solving skills-especially in locating and understanding unfamiliar data structures
* Comfortable working in a fast-paced, evolving environment with shifting priorities
* Excellent communication and collaboration skills

Nice-to-Have Skills:
* AI/ML exposure: Experience applying AI to data engineering or reporting tasks is a major plus
* Power BI: Not a focus, but any exposure is fine

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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