WO-001 Data Integration Specialist with Security Clearance

WO-001 Data Integration Specialist Position Summary
The Data Integration Specialist supports mission-critical objectives under the referenced work order by managing data ingestion, transformation, and interoperability across cloud-based and on-premises environments. This role develops ETL pipelines, ensures data quality and consistency, and coordinates with AI/ML engineers to meet analytical requirements. This future opportunity is contingent upon award. Job Description
• The Data Integration Specialist is responsible for developing and maintaining scalable data pipelines that enable real-time and batch processing of structured and unstructured data.
• The position requires implementing Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
• Specialists will manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
• The role includes coordinating with AI/ML engineers to ensure data transformations meet model training and analytical requirements. Required Qualifications and Experience
The contractor shall provide personnel who meet one of the following requirements:
• Bachelor's degree in Data Science, Information Management, or a related field; or
• A minimum of five (5) years of professional experience in data integration. Candidates must have demonstrated experience in the following areas:
• Developing and managing ETL workflows.
• Integrating data from multiple sources.
• Ensuring data quality and consistency.
• Working with tools such as Apache NiFi, Databricks, and SQL-based data warehouses.
• Managing schema alignment and metadata tagging. Required Skills and Competencies
• Expertise in data integration tools, API development, and ETL pipelines.
• Working knowledge of schema management and data governance.
• Proficiency in Apache NiFi, Databricks, and SQL-based data warehouses.
• Strong understanding of data quality and interoperability requirements.
• Ability to coordinate with AI/ML teams on data transformation requirements. Education
• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Certified Data Management Professional (CDMP) (Preferred, Not Required)
• Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement
• An active TS/SCI security clearance is required for on-site duty location.

WO-001 Data Integration Specialist Position Summary
The Data Integration Specialist supports mission-critical objectives under the referenced work order by managing data ingestion, transformation, and interoperability across cloud-based and on-premises environments. This role develops ETL pipelines, ensures data quality and consistency, and coordinates with AI/ML engineers to meet analytical requirements. This future opportunity is contingent upon award. Job Description
• The Data Integration Specialist is responsible for developing and maintaining scalable data pipelines that enable real-time and batch processing of structured and unstructured data.
• The position requires implementing Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
• Specialists will manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
• The role includes coordinating with AI/ML engineers to ensure data transformations meet model training and analytical requirements. Required Qualifications and Experience
The contractor shall provide personnel who meet one of the following requirements:
• Bachelor's degree in Data Science, Information Management, or a related field; or
• A minimum of five (5) years of professional experience in data integration. Candidates must have demonstrated experience in the following areas:
• Developing and managing ETL workflows.
• Integrating data from multiple sources.
• Ensuring data quality and consistency.
• Working with tools such as Apache NiFi, Databricks, and SQL-based data warehouses.
• Managing schema alignment and metadata tagging. Required Skills and Competencies
• Expertise in data integration tools, API development, and ETL pipelines.
• Working knowledge of schema management and data governance.
• Proficiency in Apache NiFi, Databricks, and SQL-based data warehouses.
• Strong understanding of data quality and interoperability requirements.
• Ability to coordinate with AI/ML teams on data transformation requirements. Education
• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Certified Data Management Professional (CDMP) (Preferred, Not Required)
• Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement
• An active TS/SCI security clearance is required for on-site duty location.

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