Senior Data Engineer II

Location: San Diego, CA (Hybrid)

Salary Range: $143,000 – $228,000/year

Overview:

Seeking an experienced Senior Data Engineer to lead the design, development, and optimization of scalable data solutions. You will drive technical direction, mentor junior engineers, and work cross-functionally to build robust data infrastructure that supports advanced analytics and business intelligence initiatives.

Key Responsibilities:

• Design and maintain complex, high-performance data systems
• Develop ETL pipelines using Spark, Python, Scala, and SQL
• Build and optimize data models using relational, dimensional, or NoSQL databases
• Architect secure, scalable solutions on cloud platforms (e.g., AWS, Databricks)
• Lead technical decisions and mentor team members
• Collaborate with product and analytics teams to translate business needs into technical solutions
• Ensure code quality, scalability, and compliance with data governance standards
• Contribute to CI/CD pipelines and testing frameworks

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong hands-on experience with Spark (Snowflake or Databricks), Python/Scala, and SQL
• Experience with big data formats (Parquet, Avro, Delta Lake) and data pipeline design
• Proficient in cloud services (AWS, GitLab, S3, SQS) and Agile tools (JIRA, Confluence)
• Strong understanding of data modeling and performance tuning
• Familiarity with Tableau and RestAPI development

Preferred:

• CI/CD experience for data pipelines
• Knowledge of data governance (RBAC, GDPR, HIPAA)
• Healthcare data formats (OMOP, FHIR)
• Advocate of test-driven development