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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Informatica Data Engineer - **Company:** VANTAGE AI CORPORATION - **Location:** Vienna, VA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $150,000.0 - **Contract:** Contract - **Skills:** Microsoft Azure, Big Data, Databases, Continuous Integration, 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, Software Vulnerability Management, Data Processing, Freeform SQL, Azure Data Factory, Informatica Powercenter, SC Clearance, Collibra, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f53f9f3dd9842ec0 ## About the Role Do you have experience in Shell Scripting?, Do you have a Bachelor's degree?, * 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, * 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 (Required) Experience: * ETL: 6 years (Required) * Informatica: 6 years (Required) * Linux: 3 years (Required) * Oracle: 3 years (Required) * CI/CD: 4 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 ## Related Videos - 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