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