Data Jobs in Denton, TX

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1mo ago

Senior Data Engineer

GTS Technology Solutions Denton, TX

Denton, TX

1mo ago Closed

$48 - $58/hr Contract Senior Analytics Business Analytics

This position is no longer accepting applications (closed Aug 4, 2026).

Job Description

GTS Technology Solutions invites you to join a collaborative data team as a Senior Data Engineer for a higher education client in Denton, TX. This contract-to-hire role blends on-site collaboration with a hybrid work model, focusing on enterprise data platforms, data architecture, ETL/ELT, integrations, analytics, and reporting. The position offers an hourly rate of USD 48 to 58 and a clear path to permanent placement upon successful project milestones.

Responsibilities

Design, build, implement, and maintain enterprise data warehouses, operational data stores, data marts, and data lake solutions.
Develop scalable cloud and hybrid data solutions using Oracle Cloud Infrastructure and related Oracle technologies.
Create logical and physical data models to support analytics, reporting, and enterprise data needs.
Design and maintain ETL/ELT pipelines using Oracle Integration Cloud, SnapLogic, SSIS, PL/SQL, and T-SQL.
Support integrations across ERP, HCM, SIS, CRM, LMS, and third-party SaaS platforms.
Build and support API, REST, SOAP, SFTP, file-based, batch, near real-time, and event-driven integrations.
Ensure data quality, reconciliation, validation, exception handling, and performance optimization.
Support reporting and analytics using Power BI, Oracle Analytics Cloud, or similar SQL-based reporting platforms.
Create curated datasets, semantic models, dashboards, KPI structures, and reporting views.
Monitor data pipelines, platform health, data processing, system performance, and integration workflows.
Support cloud security, encryption, auditing, backup, recovery, and disaster recovery practices.
Document data architectures, processes, data dictionaries, and operational procedures.
Collaborate with technical and functional stakeholders across the organization.

Requirements

8+ years of progressively responsible experience in data engineering, enterprise data warehousing, ETL development, analytics engineering, or equivalent.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, or a related field.
Experience designing and supporting enterprise data warehouses, operational data stores, data marts, data lakes, and analytics platforms.
Experience supporting hybrid cloud and on-premises enterprise data ecosystems.
Strong SQL experience, including Oracle PL/SQL and SQL Server T-SQL or equivalent.
Experience with database performance tuning, query optimization, schema design, and data modeling.
Experience building and supporting ETL/ELT pipelines.
Experience with cloud and integration platforms such as Oracle Cloud Infrastructure, Oracle Integration Cloud, SnapLogic, SSIS, REST/SOAP APIs, SFTP, or file-based integrations.
Experience with analytics and reporting tools such as Power BI, Oracle Analytics Cloud, or equivalent.
Strong analytical, troubleshooting, communication, documentation, and stakeholder-management skills.
Ability to convey technical concepts to both technical and non-technical audiences.
Ability to manage multiple priorities in a complex enterprise environment.

Technologies

Oracle Cloud Infrastructure
Oracle Integration Cloud
SnapLogic
SSIS
PL/SQL
T-SQL
REST, SOAP
SFTP, file-based integrations
Power BI
Oracle Analytics Cloud
Oracle Fusion Cloud ERP/HCM
Ellucian Colleague, Ellucian Banner, PeopleSoft Campus Solutions
Workday Student, Oracle E-Business Suite
Oracle Autonomous Database, ATP, ADW
OCI Data Integration, OCI Object Storage, OCI Analytics

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance

Location and Compensation

Location: Denton, TX 76204, with a hybrid remote work arrangement. Compensation: USD 48.00 to 58.00 per hour. Job type: Contract

Background Check

Must pass a satisfactory criminal background check in accordance with CJIS fingerprint-based guidelines upon hire.

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