Data Integration Specialist

Endurion; Tampa (FL); On-site; USD 90,000 - 150,000; Full time

Job summary

Endurion is seeking a Data Integration Specialist to design and maintain scalable data pipelines for real-time and batch processing across cloud and on‑prem environments.

You will implement ETL workflows, manage data quality, and ensure interoperability while coordinating with AI/ML teams to align data transformations with analytical requirements. An active TS/SCI clearance is required for on-site work.

Qualifications

• Bachelor's degree in Data Science, Information Management, or related field.
• At least five years of experience in data integration.
• Developing and managing ETL workflows.
• Integrating data from multiple sources.
• Proficiency with NiFi, Databricks, and SQL-based data warehouses.
• Managing schema alignment and metadata tagging.

Responsibilities

• Develop and maintain scalable data pipelines for real-time and batch processing.
• Implement ETL workflows to enable data interoperability across cloud and on-premises environments.
• Manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
• Coordinate with AI/ML engineers to support model training and analytics requirements.

Skills

ETL pipelines

Data integration

API development

Data governance

Data quality

AI/ML collaboration

Education

Bachelor's degree

CDMP (Preferred)

Tools

Apache NiFi

Databricks

SQL-based data warehouses

Job description

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)

Clearance Requirement

An active TS/SCI security clearance is required for on-site duty location