About this role
The team is seeking a Senior Data Engineer for their Digital Products team. This role is crucial in enhancing the quality and accessibility of data-driven insights to support health and science initiatives. The ideal candidate will have a strong background in data engineering and a passion for improving health outcomes through data.
Key Responsibilities:
- Design and implement scalable data pipelines and architectures.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Optimize data storage and retrieval processes for performance and efficiency.
- Ensure data quality and integrity through rigorous testing and validation.
- Mentor junior data engineers and contribute to team knowledge sharing.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions (e.g., Snowflake, Redshift).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Strong understanding of ETL processes and data modeling.
- Knowledge of cloud platforms (e.g., AWS, Azure) is a plus.
Experience:
- A minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work in a collaborative environment with a focus on innovation.
- Chance to contribute to meaningful projects that impact public health.
- Professional development opportunities and a supportive team culture.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.