Hybrid Opportunity- Bay Area-Health Start Up

This Jobot Job is hosted by: Heather Burnach
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000 - $180,000 per year

A bit about us:
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We build and provide these capabilities to our network of leading academic institutions and pharmaceutical companies around the world. Our collaborative research spans numerous indications, with a core focus on unmet needs in oncology and autoimmune diseases. We advance science by accelerating data generation, methods development, research insights, and high-impact publications. Our interdisciplinary team of scientists, engineers, researchers, and investors focuses on decoding biological systems to make drug discovery, development, and patient care more deterministic. Come join us on our mission to decipher biology and meaningfully improve the way patients are treated.

Why join us?
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Medical insurance
Vision insurance
Dental insurance
401(k)
Paid maternity leave
Paid paternity leave
Disability insurance

Job Details
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We are seeking a highly motivated and experienced Permanent Data Infrastructure Engineer to join our dynamic team in the technology industry. As a Permanent Data Infrastructure Engineer, you will be responsible for designing, building, and maintaining our data infrastructure. You will work closely with our data scientists and software engineers to ensure that our data is accurate, reliable, and accessible.

Responsibilities:

• Design, build, and maintain our data infrastructure using Python, ETL pipelines, Airflow, and CloudFormation
• Develop and maintain ETL pipelines that move data from various sources into our data warehouse
• Work with data scientists and software engineers to ensure that our data is accurate, reliable, and accessible
• Optimize our data infrastructure to ensure that it is scalable and efficient
• Troubleshoot and resolve any issues with our data infrastructure
• Stay up-to-date with the latest trends and technologies in the data infrastructure space

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years of experience in data infrastructure engineering
• Strong experience with Python, ETL pipelines, Airflow, and CloudFormation
• Experience with AWS services such as S3, Redshift, and EMR is a plus
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team in a fast-paced environment

If you are passionate about data infrastructure engineering and want to work with a dynamic team in the technology industry, we encourage you to apply for this exciting opportunity.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. #engineering-other #airflow #etl-pipelines #cloudformation #python #indtier2