Senior Data Engineer (Dallas, TX -or- Phoenix, AZ) at Caris Life Sciences

Tempe, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

0.0

Posted On

09 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, Python, SQL, NoSQL, ETL, CI/CD, Git, Infrastructure As Code, Apache Spark, Data Modeling, Data Observability, Metadata, Genomic Data, Automation, Quality Control

Industry

Biotechnology Research

Description

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do. But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose. Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins. Position Summary We are seeking a Senior Data Engineer to join our data engineering group at Caris Life Sciences. In this role, you’ll play a critical part in shaping and advancing our data ecosystem to support cutting-edge cancer research and data licensing initiatives. We’re looking for a detail-oriented, self-motivated engineer who’s passionate about enabling precision medicine through innovative data solutions. Key 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. Required Qualifications 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. Preferred Qualifications Deep technical expertise with modern data engineering technologies, including distributed computing frameworks (e.g., Apache Spark, Dask, AWS EMR). Experience building and optimizing large-scale data pipelines, architectures, and datasets. Proficiency in data modeling (e.g., dimensional modeling, data vault, star schema). Experience with data observability, including monitoring, logging, alerting, and automated testing. Familiarity with metadata, lineage tracking, and workflow orchestration tools (e.g., Metaflow or similar). Practical experience with AWS services such as Glue, Athena, S3, and Lambda. Passion for advancing cancer research and familiarity with genomic data (e.g., DNA/RNA sequencing). Physical Demands Ability to sit, stand, and work at a computer for extended periods. Training All job specific, safety, and compliance training are assigned based on the job functions associated with this employee. Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification. This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an 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. Caris Life Sciences is a leading innovator in molecular science and artificial intelligence focused on fulfilling the promise of precision medicine through quality and innovation. Caris is committed to quality and excellence at our state-of-the-art laboratories. Learn more about our tissue lab and the advanced technologies that are helping improve the lives of cancer patients.

Responsibilities

The Senior Data Engineer will collaborate with data engineers, computational scientists, and researchers to make complex data accessible for scientific discovery. They will maintain and enhance AWS-based data platforms and design scalable data pipelines.