Workday Conversion Developer

University of Arkansas System

Workday Conversion Developer building ETL pipelines for data ingestion at the University of Arkansas System. Collaborating with technical leads to ensure data requirements are met.

Posted 7/30/2026part-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in T-SQL, data modeling principles, and ETL pipeline development while managing large datasets and performing basic database administration tasks. Strong problem-solving skills and attention to detail are essential for success in data conversion and management.

Highest-signal resume keywords

T-SQL ExpertiseData Modeling PrinciplesETL Pipeline DevelopmentSSIS Tools KnowledgeDatabase Administration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

T-SQLData ModelingETL DevelopmentSQL ServerDatabase AdministrationQuery Performance TuningIndex MaintenanceData Pipeline ManagementData IngestionData Structure Analysis

Soft Skills

Attention to DetailProblem-Solving

Tools & Technologies

SSIS

Industry Keywords

Data ConversionInformation TechnologyHigher EducationData ManagementBusiness Use

Tech Stack

Tools & technologies

ETLSQLSSIS

About the role

Key responsibilities & impact

Serve as the Workday Data Conversion Developer on the Information Technology Team
Build ETL pipelines to ingest data from heterogeneous sources into the University of Arkansas System
Collaborate with technical leads to understand data requirements and make data-related decisions
Help build efficient and stable data pipelines which can be easily maintained and/or modified as needed
Manage large datasets for business use

Requirements

What you’ll need

The educational equivalent of Bachelor’s degree from an accredited institution of higher education
At least two years of related experience
Expert-level T-SQL knowledge (query performance tuning, index maintenance, etc.)
Medium- to Expert-level Knowledge of data modeling principles
Knowledge of SSIS tools sets
Knowledge of various SQL Server data storage mechanisms and virtual server capacities
Perform basic database administration (DBA) tasks such as database creation, backups, security assignment, log, and file maintenance
High attention to detail
Passionate about complex data structures and problem-solving

Benefits

Comp & perks

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