Data Engineer

This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is onsite near Tustin, CA. Please submit your resume and send to recruiters@vsearchgroup.com if you are interested. Thank you! Overview We are seeking Data Engineers to support a large-scale data platform transformation initiative. This role focuses on building and improving modern data infrastructure in a cloud-based environment. The work involves rethinking and enhancing existing data systems, rather than maintaining legacy processes. This is an opportunity to contribute to a growing data engineering function, working on foundational systems that will support future analytics and advanced data capabilities. Key Responsibilities • Design, develop, and maintain scalable data pipelines (ETL/ELT) • Work with distributed data processing frameworks to handle large datasets • Transform and optimize data from various transactional sources • Collaborate with cross-functional teams to support data-driven initiatives • Contribute to data platform improvements and modernization efforts • Ensure data quality, performance, and reliability • (Senior level) Provide guidance on architecture, best practices, and technical direction Technology Environment • Cloud platform (e.g., Microsoft Azure) • Data platforms (e.g., Databricks, Delta Lake) • Distributed processing (e.g., Apache Spark) • Programming languages (e.g., Python, PySpark) • SQL-based data sources • ETL/ELT frameworks Open Roles Senior Data Engineer • Lead design and architecture of data solutions • Support infrastructure and automation initiatives • Establish best practices and technical standards • Mentor junior team members Mid / Junior Data Engineer • Build and support data pipelines using Python and SQL • Work with structured and unstructured data • Collaborate with senior engineers on platform development • Gain exposure to distributed and real-time data systems Required Qualifications • Experience with modern data platforms and cloud environments • Strong skills in Python and SQL • Experience building and maintaining data pipelines • Familiarity with distributed data processing concepts • Ability to work in a dynamic, evolving environment Preferred Qualifications • Experience with tools such as Databricks, Spark, or similar platforms • Exposure to analytics engineering or data modeling tools • Understanding of data governance, quality, or security practices • Experience working on data transformation or modernization efforts What Makes a Strong Candidate • Hands-on experience building and improving data systems • Ability to work with limited structure and evolving requirements • Strong problem-solving and communication skills • Proactive mindset with a focus on ownership and impact