Data Engineer II (Python / PySpark / SQL)

Location: San Diego, CA (Hybrid)
Duration: 12+ Month Contract
Schedule: Monday – Friday | 40 Hours/Week
Pay Rate: $50–$70/hour 

About the Opportunity

Our client is a leading global technology company recognized for building innovative consumer software and data-driven digital products. They are seeking a Data Engineer II to join a high-impact analytics and machine learning team responsible for developing scalable data solutions that power business insights and intelligent decision-making.

This is an excellent opportunity for a data professional who enjoys building robust data pipelines, working with large-scale datasets, and collaborating with analysts and data scientists to enable advanced analytics and machine learning initiatives.

Key Responsibilities

• Design, build, and maintain scalable feature engineering pipelines for analytics and machine learning applications.
• Develop efficient, incremental data pipelines using PySpark to process enterprise-scale datasets.
• Create and optimize data models that support reporting, analytics, and predictive modeling.
• Monitor production data pipelines, troubleshoot issues, and ensure high availability and data quality.
• Collaborate closely with data scientists, analysts, and engineering teams to prioritize business requirements.
• Write clean, maintainable, object-oriented Python code following best practices.
• Optimize SQL queries and data processing workflows for performance and scalability.
• Support continuous improvements to data infrastructure and pipeline reliability.
• Mentor team members and promote best practices for feature engineering and data development.

Required Qualifications

• 5+ years of overall experience in Data Engineering, Data Analytics, or a related field.
• 2+ years of hands-on experience developing enterprise-scale solutions using PySpark.
• 4+ years of experience with data modeling and designing scalable data solutions.
• Strong programming skills in Python, including object-oriented programming concepts.
• Advanced SQL skills with experience querying and transforming large datasets.
• Experience building and maintaining production data pipelines.
• Strong troubleshooting and debugging skills in production environments.
• Excellent communication and collaboration skills with technical stakeholders.

Preferred Qualifications

• Experience supporting machine learning feature engineering pipelines.
• Familiarity with large-scale distributed data processing environments.
• Experience working in Agile development environments.
• Passion for mentoring teammates and sharing technical knowledge.

Why Apply?

• Work on impactful, data-driven products used by millions of customers.
• Collaborate with talented engineers, analysts, and data scientists.
• Long-term contract with competitive W2 compensation.
• Opportunity to contribute to modern data engineering and machine learning initiatives.

If you're passionate about building scalable data solutions and enjoy solving complex data challenges with Python, PySpark, and SQL, we'd love to hear from you!