We are seeking a talented Senior Data Engineer to join our growing team of data architects and engineers. In this role, you will design, build, and maintain scalable data pipelines and infrastructure using modern cloud technologies. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that deliver valuable insights to drive business outcomes.

• Design, develop, and maintain robust data pipelines using code-based ETL/ELT processes
• Build and optimize data models to support analytics and reporting needs 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

• 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. Alternative Option: (Snowflake experience is acceptable if Databricks experience is unavailable/ but only for Mid and Juniors.)
• Proficiency in SQL and at least one programming language (Python)
• Experience designing dimensional data models and implementing ETL/ELT processes
• Strong foundation in software engineering principles including version control (GitHub), CI/CD, and testing.
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders
• Experience with Infrastructure as Code (Terraform)
• Knowledge of data visualization tools (Power BI, etc.)
• Experience with AWS cloud services
• Experience with data orchestration tools (Airflow, Azure Data Factory, etc.)
• Knowledge of data governance, security, and compliance considerations
• Experience in the pharmaceutical or life sciences industry
• Familiarity with healthcare data sources and regulatory requirements
• Familiarity with agile development methodologies