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Amazon Genomics Jobs (NOW HIRING)

Verily

Technical Solutions Engineer - Pre

Dallas, TX · On-site

$103.50 - $155.50/hr

... genomic and imaging systems, and custom datasets into standardized models such as FHIR and OMOP ... Hands-on experience with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services ...

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How much do amazon genomics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for amazon genomics in the United States is $38.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $57.69 per hour, depending on experience, location, and employer.

What is Amazon Genomics?

Amazon Genomics refers to the suite of cloud-based tools and services offered by Amazon Web Services (AWS) that are specifically designed to support genomics research and large-scale data analysis. These services help researchers process, store, and analyze genomic data efficiently using scalable computing resources. By leveraging AWS, genomics professionals can accelerate bioinformatics workflows, collaborate securely, and manage vast amounts of sequencing data without the need for on-premises infrastructure.

What are the key skills and qualifications needed to thrive as an Amazon Genomics specialist?

To thrive as an Amazon Genomics specialist, you need expertise in genomics data analysis, cloud computing, and bioinformatics, typically supported by a degree in biology, computer science, or a related field. Familiarity with AWS services (such as Amazon S3, AWS Batch, and Amazon Genomics CLI), data processing pipelines, and tools like Nextflow or Cromwell is essential. Strong problem-solving skills, attention to detail, and effective communication help you collaborate across technical and scientific teams. These skills are crucial for efficiently processing large-scale genomic datasets and delivering scalable, reproducible solutions in a cloud environment.

What are some common challenges faced by professionals working in Amazon Genomics, and how can applicants prepare to address them?

Professionals in Amazon Genomics often encounter challenges such as managing and analyzing large-scale genomic datasets, ensuring data security and compliance, and staying up to date with rapidly evolving bioinformatics tools and cloud technologies. Applicants can prepare by gaining experience with cloud computing platforms (like AWS), familiarizing themselves with genomic data formats and workflows, and understanding best practices for data privacy in healthcare and research settings. Collaborating effectively with interdisciplinary teams—such as bioinformaticians, software engineers, and research scientists—is also crucial for success in this role.
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Amazon Genomics jobs near you
Infographic showing various Amazon Genomics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,533 per year, or $38.7 per hour.

Senior Platform Engineer (DataOps)

Black Canyon Consulting

Bethesda, MD • On-site

$111K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Black Canyon Consulting (BCC) is searching for Senior Platform Engineer (DataOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Duties & Responsibilities
The DataOps Platforms team:
  • Develops and continuously improves DataOps platform.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption of platform.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Embraces agile development and continuous improvement
  • Encourages growth mindset and offers leadership opportunities at any level

Required Skills:
  • 7+ years of experience is the field
  • Strong coding skills in at least one programing language are required (Python, C++, ...)
  • Kubernetes, containerization
  • Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
  • Apache Kafka, Google Cloud Pub/Sub or equivalent
  • Apache AirFlow or equivalent
  • Experience with data processing applications and modern cloud-based data processing infrastructure
  • Linux command-line skills

Bonus Skills:
  • Google Anthos
  • Docker
  • GitOps tools: ArgoCD or equivalent
  • Infrastructure as code tools: Terraform or equivalent
  • GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management
  • Modern observability and logging tools: Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor),
  • DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty, Splunk, or equivalent
  • Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent
  • Data transfer tools: AWS DataSync, Aspera, MinIO, CloudSoda or equivalent
  • Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
  • Experience with best-practice design patterns in coding and architecture
  • Experience working in Agile environment
Educational Requirements
  • B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.

Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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