Senior Data Engineer supporting cutting-edge cancer research and data licensing initiatives at Caris Life Sciences. Collaborating with scientists, improving data architecture, and designing scalable data solutions.
Responsibilities
Collaborate closely with other data engineers, computational scientists, and researchers to make complex, multimodal data easily accessible for scientific discovery.
Maintain and enhance our AWS-based data platforms (Glue, Athena, S3) while evaluating and implementing new tools and approaches for data delivery.
Design, build, and optimize data pipelines that integrate diverse data sources into a scalable and secure data lake.
Continuously improve data architecture, automation, quality control, and testing processes.
Proactively troubleshoot, optimize, and modernize existing systems to ensure reliability and performance.
Contribute to best practices in data engineering, documentation, and cross-team knowledge sharing.
Assist with architecting solutions having scalability in mind to support future growth in data volume and complexity.
Provide technical mentorship (when needed) to data engineers and contribute to team development.
Requirements
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
6+ years of software development experience, including at least 3 years focused on data engineering
Proficiency with Python and experience working with data frames for transformation and analysis
Hands-on experience with relational (SQL) and NoSQL databases
Solid understanding of cloud platforms (preferably AWS) and ETL/ELT pipeline development
Familiarity with CI/CD for data workflows, Git, and infrastructure as code (e.g., Terraform, CloudFormation)
Strong communication skills and the ability to work effectively in cross-functional teams.
Benefits
Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check (applicable for certain positions) and reference verification
Equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
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