Staff Data Engineer
4 weeks ago
Karius is a leading life science company that is revolutionizing the way pathogens and other microbes are observed throughout the body. By unlocking the information present in microbial cell-free DNA, we're helping doctors quickly solve their most challenging cases, providing industry partners with access to thousands of biomarkers to accelerate clinical trials, discovering new microbes, and reducing patient suffering worldwide.
Position Summary
We are seeking a seasoned Staff Data Engineer to drive data platform initiatives across the data value chain at Karius. We develop and operate AI-driven data analytics pipelines to deliver life-saving results in the highly complex infectious disease landscape. In this role, you will have the opportunity to develop and optimize the data platform to enable our users to extract insights from large amounts of commercial, operational, genomic, and clinical data, ultimately providing actionable insights that serve the business and patients. You will be able to incorporate the next generation of AI technologies and tools into the Karius data platform to significantly increase delivered value to internal stakeholders and our customers.
Key Responsibilities
Design, develop, test, deploy, and maintain production-grade platforms and tooling that add value across the data lifecycle (ingest, transform, serve) for various use cases such as reporting, data analytics, machine learning, and bioinformatics.
Ensure centralized, standardized, and secure data access across business domains.
Combine internal (including PHI) and external data sources via ETL/ELT tooling to calculate operational and commercial KPIs for data analysis and reporting use-cases, catalyzing insight generation.
Implement generative AI solutions to increase the value and usability of Karius data assets across use-cases such as data pipelining, data discovery, knowledgebase search, and conversational analytics.
Requirements
10+ years of data engineering / software development experience with at least 5 years of relevant experience in building enterprise-scale data platforms.
Hands-on experience with data platforms (e.g. Databricks) and cloud services (e.g AWS).
Experience with ETL/ELT tools (e.g. Fivetran) for integrating internal and third-party data sources.
Experience in building scalable infrastructure for batch processing (e.g., Spark, Hadoop) and stream processing (e.g., Kafka, Kinesis) for large volumes of data.
What We Offer
Karius offers a dynamic and collaborative work environment, competitive compensation, and opportunities for professional growth and development. If you are a motivated and experienced data engineer looking to make a meaningful impact in the life sciences industry, we encourage you to apply for this exciting opportunity.
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