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body data-rsssl=1 class="wp-singular ce_job-template-default single single-ce_job postid-12218 wp-custom-logo wp-embed-responsive wp-theme-kadence wp-child-theme-gdh-theme footer-on-bottom hide-focus-outline link-style-standard content-title-style-normal content-width-normal content-style-boxed content-vertical-padding-show non-transparent-header mobile-non-transparent-header"> Skip to content Job ID: 113798 Location: Tampa , Florida [ Remote ] Category: App/Dev Employment Type: Contract Date Added: 10/12/2026 Apply Now Back to Search Thank you for applying. Someone will be contacting you shortly. Uploading Resume... Creating Application... Finishing up... Role Summary The Data Engineer is responsible for consolidating and maintaining the organization’s data infrastructure, ensuring data accuracy, consistency, and reliability. This role involves designing, building, and managing scalable ETL processes, establishing enterprise data warehouse architecture, and supporting data feeds for internal and external partners. Collaboration with application developers and business stakeholders is essential to transform raw data into trustworthy information supporting reporting and analytics needs. Responsibilities • Support the implementation and integration of Microsoft Fabric as the organization’s modern data platform, including migration of existing data sources. • Design, develop, and monitor scalable ETL pipelines using Azure Data Factory, Fabric Data Factory, Dataflows Gen2, notebooks, and Spark-based processing. • Develop and maintain enterprise data warehouse architecture to support reliable reporting and analytical functions. • Design and optimize data models, including dimensional models, star schemas, and semantic models for performant analytics. • Manage data feeds to and from internal and external partners, including contract oversight, format specifications, and monitoring feed health. • Enforce data quality standards through validation rules, automated testing, reconciliation, and documentation of data lineage. • Optimize data workflows and database performance through query tuning, resource management, and pipeline efficiency improvements. • Automate data infrastructure operations using DataOps practices, enhancing reliability and reducing manual intervention. • Establish best practices for data engineering, including coding standards, version control, CI/CD, and data governance. • Collaborate with IT, security, and compliance teams to ensure ongoing adherence to privacy and security standards, including handling of PHI and PII data. Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or relevant field, or equivalent practical experience. • 5+ years of experience in data engineering, including designing and operating production ETL pipelines. • Hands-on experience with Microsoft Fabric, including building and managing Data Factory pipelines, Lakehouse or Warehouse, and notebooks. • Strong familiarity with the broader Azure data stack, including Azure SQL, Azure Data Factory, Synapse Analytics, and Azure Data Lake. • Proficiency in SQL, Python, and/or PySpark for data transformation and pipeline development. • Practical experience implementing and maintaining enterprise data warehouse architecture. • Knowledge of dimensional data modeling (star/snowflake schemas) and building semantic models for reporting. • Experience managing data feeds, SLAs, and monitoring/reporting on their reliability. • Demonstrated ability to implement data quality frameworks, validation, testing, and reconciliation processes. • Strong understanding of data governance, security, and access control practices in a cloud environment. • Excellent communication skills with the ability to collaborate across technical and non-technical teams. Publishing Pay Range: $62.00 – $74.00 hourly This is a fully remote role and can be performed from any approved location within the United States. About GDH: At GDH, we believe in the power of people and the importance of caring. Our culture statement, “We care about people,” isn’t just a tagline – it’s the core of everything we do. GDH is a premier staffing and talent solutions company dedicated to helping businesses find the best talent and assisting job seekers in finding their dream jobs. Who We Are: GDH, founded in 2001, has grown into a leader in providing staffing solutions across various industries. We specialize in IT across several sectors, connecting top talent with leading enterprises. As a Best of Staffing firm recognized for excellence in client, employee, talent, and women’s services, we pride ourselves on our commitment to quality and service. GDH Benefits GDH offers a range of employee benefits that are designed to promote well-being and help maintain a healthy work-life balance. These comprehensive benefits cover various aspects of an employee’s life and aim to enhance their overall experience with the company. Our health benefits include three medical insurance options with access to KISx Card, Zero Card, and HealthJoy concierge services. Other plan offerings include dental, vision, life, disability, supplemental insurance, and pet insurance plans. Enjoy additional perks like holiday pay, 401(k) plan, direct deposit, an employee referral program, work-life balance benefits, a Wellbeats membership, a discounted gym membership program, and more! For more detailed information on benefits, please go to GDH’s website under the tab for candidates. GDH provides equal employment opportunities (EEO) to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, gender, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, ancestry, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable federal, state, and local laws. Applicants with disabilities who require an accommodation or assistance in applying and/or for interviewing, please contact our HR Department. Please visit our notice of collection for California applicants. Apply Now View All Jobs Similar Jobs Senior Data Engineer North Carolina, NC [ Remote ] Role Summary The Senior Data Engineer designs, builds, and maintains scalable data pipelines, transformations, and data products within a secure, regulated cloud environment. 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Job ID: 113798
Location: Tampa , Florida [ Remote ]
Category: App/Dev
Employment Type: Contract
Date Added: 10/12/2026
Back to Search
Thank you for applying. Someone will be contacting you shortly.
Uploading Resume...
Creating Application...
Finishing up...
Support the implementation and integration of Microsoft Fabric as the organization’s modern data platform, including migration of existing data sources.
Design, develop, and monitor scalable ETL pipelines using Azure Data Factory, Fabric Data Factory, Dataflows Gen2, notebooks, and Spark-based processing.
Develop and maintain enterprise data warehouse architecture to support reliable reporting and analytical functions.
Design and optimize data models, including dimensional models, star schemas, and semantic models for performant analytics.
Manage data feeds to and from internal and external partners, including contract oversight, format specifications, and monitoring feed health.
Enforce data quality standards through validation rules, automated testing, reconciliation, and documentation of data lineage.
Optimize data workflows and database performance through query tuning, resource management, and pipeline efficiency improvements.
Automate data infrastructure operations using DataOps practices, enhancing reliability and reducing manual intervention.
Establish best practices for data engineering, including coding standards, version control, CI/CD, and data governance.
Collaborate with IT, security, and compliance teams to ensure ongoing adherence to privacy and security standards, including handling of PHI and PII data.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or relevant field, or equivalent practical experience.
5+ years of experience in data engineering, including designing and operating production ETL pipelines.
Hands-on experience with Microsoft Fabric, including building and managing Data Factory pipelines, Lakehouse or Warehouse, and notebooks.

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