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# Lead Software Engineer

- **Company:** Virtusa Corporation
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Databases, Information Engineering, Data Files, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Document-Oriented Databases, Apache Hadoop, Python (Programming Language), PostgreSQL, MySQL, Oracle (Applications), Systems Development Life Cycle, Standard Sql, Software Engineering, Apache Spark, Information Technology, Data Management, Data Pipelines, Programming Languages
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-chicago-il--29f7f6e9-04a8-4c6a-a12b-c9d5873a27a7

## About the Role

Software Engineering, Data Management, Relational Databases (RDBMS), Database Extract Transform and Load (ETL), Scalable System Development, Data Quality, Data Sets, Data Science, Data Analysis, Identify Issues, * Strong expertise in RDBMS technologies (e.g., MySQL, PostgreSQL, Oracle).

 * Proficient in SQL and data modeling techniques.
 * Experience with ETL tools and data integration techniques.
 * Familiarity with data warehousing concepts and practices.

Preferred Skills:

 * Experience with cloud-based data solutions (e.g., AWS, Azure).
 * Knowledge of big data technologies (e.g., Hadoop, Spark).
 * Understanding of data governance and data quality frameworks.
 * Familiarity with programming languages such as Python or Java., * Bachelor''s degree in Computer Science, Information Technology, or a related field.
 * 5-7 years of experience in data engineering or a related role.
 * Strong analytical and problem-solving skills.
 * Excellent communication and teamwork abilities.

## Description

Job Summary: We are seeking a skilled Data Engineer with a strong background in Relational Database Management Systems (RDBMS) to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining data pipelines and architectures that support our data-driven decision-making processes., * Design, develop, and maintain scalable data pipelines and ETL processes.

 * Implement and optimize RDBMS solutions to ensure data integrity and performance.
 * Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets.
 * Monitor and troubleshoot data pipeline performance and reliability.
 * Document data architecture and processes for future reference and compliance.
 * Stay updated with industry trends and best practices in data engineering.