Sr. Data Engineer (San Diego based)

Role Summary

Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure using modern cloud technologies. Collaborate with cross-functional teams to translate business requirements into technical solutions that drive valuable insights and business outcomes.

Responsibilities

• Design, develop, and maintain robust data pipelines using code-based ETL/ELT processes
• Build and optimize data models to support analytics and reporting across multiple business domains
• Integrate data into new and existing processes to improve data access and utilization
• Implement access controls, data quality checks and monitoring to ensure data security, integrity and reliability
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Mentor junior team members and contribute to establishing best practices and standards
• Lead small to medium-sized projects independently, from requirements gathering to implementation
• Stay current with emerging technologies and recommend improvements to our data architecture

Qualifications

• 4+ years of experience in data engineering roles with a focus on building and maintaining data pipelines
• Strong experience with cloud-based data platforms, preferably Databricks and/or Snowflake
• Proficiency in SQL and at least one programming language (Python, Scala, etc.)
• Experience designing dimensional data models and implementing ETL/ELT processes
• Strong foundation in software engineering principles including version control, CI/CD, and testing
• Experience with data orchestration tools (Airflow, Azure Data Factory, etc.)
• Knowledge of data governance, security, and compliance considerations
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders
• Experience in the pharmaceutical or life sciences industry
• Familiarity with healthcare data sources and regulatory requirements
• Experience with Infrastructure as Code (Terraform)
• Knowledge of data visualization tools (Power BI, Tableau, etc.)
• Experience with AWS cloud services
• Familiarity with agile development methodologies