AI Data Engineer

We are actively seeking a highly skilled and motivated Data Engineer to join our growing team in Irvine, CA. This pivotal role involves designing, developing, and maintaining scalable data pipelines and architectures that support various business functions, ensuring robust data availability and quality. As a Data Engineer, you will play a crucial part in transforming raw data into actionable insights, driving strategic decisions across the organization.

We are looking for an individual with a strong foundation in data warehousing, ETL processes, and big data technologies, ready to tackle complex challenges and contribute to a data-driven culture. This is an exciting opportunity for a professional eager to make a significant impact within a dynamic environment.

Key Responsibilities

• Design, build, and maintain efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into data warehouses and data lakes.
• Develop and optimize ETL/ELT processes using SQL and scripting languages (e.g., Python) to ensure data accuracy and timely availability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Implement data governance, security, and quality standards to ensure compliance and integrity of all data assets.
• Monitor and troubleshoot data pipeline issues, ensuring high availability and performance of data infrastructure.
• Evaluate and integrate new data technologies and tools to enhance our data platform capabilities and efficiency.
• Document technical designs, data flows, and processes to ensure maintainability and knowledge transfer.
• Optimize database performance and query efficiency for large datasets.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of professional experience as a Data Engineer or in a similar role focusing on data pipeline development.
• Proficiency in SQL and experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Strong programming skills in Python for data manipulation and automation.
• Experience with cloud platforms such as AWS, Azure, or GCP, specifically with data services (e.g., S3, Redshift, Snowflake, BigQuery, Data Factory).
• Familiarity with data warehousing concepts, ETL methodologies, and big data technologies.
• Experience with version control systems like Git.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.

What We Offer

• A stimulating work environment where innovation and continuous learning are encouraged.
• Opportunities to work on cutting-edge data technologies and impactful projects.
• Competitive salary and benefits package.
• Professional growth and development opportunities.
• A collaborative culture focused on teamwork and achieving shared goals.