Frontend Developer

A bit about Karius:

Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company’s platform delivers unprecedented insights into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. This helps accelerate the development of therapeutic solutions and improves patient care.

About the role

We are seeking a Staff Data Engineer to join our growing Analytics Engineering team. As a member of this team, you will play a key role in developing and maintaining our data infrastructure, ensuring that our systems can handle the large volumes of data generated by our tests and research projects.

Responsibilities

• Design and implement scalable data pipelines using technologies like Apache Kafka, Spark, and Hadoop
• Develop and maintain data models to support analytics and reporting needs
• Collaborate with cross-functional teams including scientists, statisticians, and product managers to understand business requirements and translate them into technical solutions
• Optimize data storage and retrieval processes to improve performance and reduce costs
• Ensure data quality and integrity through automated testing and validation
• Stay up-to-date with the latest trends and best practices in big data and data engineering

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field
• 5+ years of professional experience in data engineering or a related field
• Experience with distributed systems, cloud platforms (AWS, Google Cloud, Azure), and containerization tools (Docker, Kubernetes)
• Strong proficiency in SQL, Python, and/or Scala
• Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake
• Excellent problem-solving skills and ability to work independently and as part of a team
• Strong communication and collaboration skills

Qualifications

• Experience with data modeling and ETL processes
• Knowledge of NoSQL databases and distributed systems
• Experience with data visualization tools (Tableau, PowerBI, etc.)
• Experience with machine learning and statistical analysis

Skills

• Proficiency in data engineering tools and frameworks
• Experience with data governance and compliance standards
• Ability to work in a fast-paced, dynamic environment

Benefits

• Competitive salary commensurate with experience
• Flexible working hours
• Health insurance coverage
• 401(k) retirement plan
• Professional development opportunities

Pay

Commensurate with experience

Schedule

Full-time