> Markdown version of [/jobs/ext/3920818-data-integration-specialist](https://www.wearedevelopers.com/jobs/ext/3920818-data-integration-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Integration Specialist

- **Company:** The Sos
- **Location:** Miami, FL, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Batch Processing, Cloud Computing, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Information Management, Interoperability, SQL Databases, Unstructured Data, Data Ingestion, Azure Data Factory, Apache Nifi, Data Management, Api Design, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.miamigigs.com/job.asp?id=3468912773&tx=FL232FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Active TS/SCI clearance.
 * Bachelor's degree in Data Science, Information Management, or a related field, OR five (5) years of equivalent experience in data integration.
 * Demonstrated experience in developing and managing ETL workflows, integrating data from multiple sources, and ensuring data quality and consistency.
 * Experience with tools such as Apache NiFi, Databricks, and SQL-based data warehouses is required.
 * Possess the knowledge and capability to manage data ingestion, transformation, and interoperability across cloud-based and on-premises environments.
 * Personnel must be proficient in data integration tools, API development, ETL pipelines, and schema management., * Certifications include Certified Data Management Professional (CDMP) or Microsoft Certified: Azure Data Engineer Associate.

## Description

* Develop and maintain scalable data pipelines that enable real-time and batch processing of structured and unstructured data.
 * Implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
 * Manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
 * Coordinate with the AI/ML Engineer to ensure data transformations meet model training and analytical requirements.
 * Submit the Data Ingestion & Transformation Report, documenting data sources, pipeline optimizations, and integration updates