Senior Informatica Data Engineer

• 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

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)

$140,000 - $150,000 a year - Full-time, Contract, Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Relocation assistance
• Flexible schedule, Job Types: Full-time, Contract

Pay: $140,000.00 - $150,000.00 per year, * 401(k)

• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Relocation assistance
• Vision insurance