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# Informatica Engineer- DOD Secret Clearance

- **Company:** VANTAGE AI CORPORATION
- **Location:** Vienna, VA, United States
- **Experience:** Experienced
- **Salary:** $145,000.0 - $155,000.0
- **Contract:** Contract
- **Skills:** Microsoft Azure, Big Data, Databases, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Linux, DevOps, Dimensional Modeling, Distributed Computing Environment, Python (Programming Language), Microsoft SQL Server, Oracle Databases, Oracle (Applications), Performance Tuning, Query Optimization, Azure Machine Learning, Shell Script, SQL Databases, Unstructured Data, Software Vulnerability Management, Data Processing, Freeform SQL, Azure Data Factory, Informatica Powercenter, SC Clearance, Collibra, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7d02298e3e449614

## About the Role

Active Secret Clearance, Interim Secret, or DHS T3 (High)
Minimum 8+ years of hands-on experience in Data Engineering
Strong expertise in:
Informatica (PowerCenter, IDQ) - Administration and Development
ETL design, development, and optimization
SQL and database technologies (SQL Server, Oracle)
Proficiency in:
Shell scripting and Python (working knowledge or higher)
Experience with:
Azure cloud platform and data services
Azure Data Factory, Synapse, Databricks
Strong experience with:
Linux/Unix environments
Big data platforms and distributed data processing
Proven experience working in secure, production environments
Preferred Qualifications
Experience with Azure Purview and data governance frameworks
Familiarity with Azure AI services and advanced analytics platforms
Experience supporting federal or government clients
Knowledge of data warehousing concepts and dimensional modeling
Exposure to CI/CD pipelines and DevOps practices in data engineering, * Bachelor's (Preferred), * Informatica: 5 years (Required)

 * Informatica Admin: 4 years (Required)
 * Informatica Powercenter: 4 years (Required)
 * ETL: 6 years (Required)
 * Linux: 4 years (Required)
 * Azure: 4 years (Required)
 * Python: 5 years (Required)

## Description

Design, develop, and maintain scalable ETL pipelines and data workflows using Informatica and cloud-native tools
Administer and support Informatica environments, including:
Installation, patching, upgrades, and vulnerability remediation
Support for Informatica PowerCenter and Informatica Data Quality (IDQ)
Develop and optimize data integration solutions across multiple data sources
Build and maintain data pipelines using Azure services, including:
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Databricks
Write and maintain advanced SQL queries, Shell scripts, and Python-based data processing scripts
Work with large-scale structured and unstructured datasets within big data environments
Perform data modeling, transformation, and performance tuning
Support and manage Linux/Unix environments for data processing workloads
Work closely with SQL Server and Oracle databases, including query optimization and performance tuning
Implement and support data governance and cataloging solutions using tools such as Azure Purview
Ensure data pipelines and systems comply with security, governance, and federal standards
Collaborate with cross-functional teams including data architects, analysts, and application developers


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