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Amazon Genomics Jobs (NOW HIRING)

10x Genomics

Senior Data Platform Engineer

Pleasanton, CA · On-site

$168K - $227K/yr

About the Role Join our Data Platform team at 10x Genomics to architect and implement our strategic ... Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the ...

10x Genomics

Senior Data Platform Engineer

Pleasanton, CA · On-site

$168K - $227K/yr

About the Role Join our Data Platform team at 10x Genomics to architect and implement our strategic ... Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the ...

10x Genomics

Senior Data Platform Engineer

Pleasanton, CA · On-site

$127K - $153K/yr

About the Role Join our Data Platform team at 10x Genomics to architect and implement our strategic ... Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

Strong motivation and interest to analyze genomics data and interpret biomedicine from data ... Hereceived Amazon Research Award (Fall 2024 and Spring 2025), Cisco Faculty Award (2024 and 2025 ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

The postdoc candidate will join a highly collaborative team to develop ML/AI x genomics methodology ... Hereceived Amazon Research Award (Fall 2024 and Spring 2025), Cisco Faculty Award (2024 and 2025 ...

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How much do amazon genomics jobs pay per hour?

As of Jun 5, 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 are the key skills and qualifications needed to thrive as an Amazon Genomics specialist, and why are they important?

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.

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.
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Amazon Genomics jobs near you
Infographic showing various Amazon Genomics job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $80,533 per year, or $38.7 per hour.
Senior Data Platform Engineer

Senior Data Platform Engineer

10x Genomics

Pleasanton, CA • On-site

$168K - $227K/yr

Full-time

Medical, Retirement

Posted 11 days ago

Job description

About the Role
Join our Data Platform team at 10x Genomics to architect and implement our strategic Unified Data Platform (UDP). This pivotal role is focused on modernizing our data infrastructure, transitioning to a scalable Event-Driven Architecture (EDA), and building the foundation for next-generation AI/ML and self-service analytics.
  • Lead the architecture and delivery of the Single Source of Truth (SSOT) for the 10x Intelligent Data Ecosystem.
  • Apply advanced software engineering practices to data systems for scalability and reliability.
  • Provide hands-on Senior Data Engineering leadership in developing scalable and maintainable ETL/ELT solutions and data systems in a cloud-native environment.
  • Drive the systematic reduction of critical technical debt by retiring fragile legacy middleware (e.g., Boomi).
  • Partner with engineering and business teams to enable advanced AI capabilities and democratize data access via Natural Language Querying (NLQ).

What you will be doing
  • Architect and implement the canonical data layer and Event-Driven Architecture (EDA) using technologies like Apache Iceberg and Kafka to decouple applications and ensure real-time data flow.
  • Design, build, and optimize high-volume, code-first data pipelines (real-time and batch) across a large application landscape (e.g., Salesforce, Oracle, Workday).
  • Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the Medallion Architecture (Silver and Gold layers) and schema evolution.
  • Develop, test, and maintain robust and scalable ELT pipelines and data models in Snowflake, including leveraging advanced features like Snowpipes, Streams, and Stored Procedures.
  • Develop the data presentation layer for self-service analytics, including the Natural Language Query (NLQ) interface integrated with Generative AI (e.g., Bedrock).
  • Lead technical efforts to migrate key business domains off legacy middleware and onto the new platform, eliminating the "Integration Bottleneck".
  • Define and enforce data governance, quality, and security standards across the Unified Data Platform.
  • Collaborate with the Architecture Review Board (ARB) to promote modern approaches such as serverless computing and Domain-Driven Design.
  • Take ownership of the full development lifecycle, from prototyping and design through deployment, monitoring, and operational excellence.

Minimum Requirements
  • Bachelor's degree in Computer Science, Information Management, or a related field, or equivalent experience.
  • 5+ years of hands-on experience in software engineering focused on data platform development, distributed systems, or enterprise integrations.
  • Proven experience designing and implementing highly scalable data platforms on major cloud environments (e.g., AWS, GCP, or Azure).
  • Deep proficiency in one or more general-purpose programming languages (e.g., Python, Java, or similar).
  • Strong foundation in computer science fundamentals, including data structures, algorithms, and system design.

Preferred Skills and Experience
  • Expertise in message queues and event streaming platforms (e.g., Kafka, RabbitMQ, Pub/Sub) and implementing Event-Driven Architecture.
  • Experience with building data lakes/lakehouses using open formats like Apache Iceberg on cloud storage (e.g., Amazon S3).
  • Expertise in modern ELT development, data modeling for OLAP/data warehousing using tools like dbt, and advanced Snowflake features (e.g., Snowpipes, Streams, Stored Procedures).
  • Familiarity with containerization (Docker, Kubernetes) and Infrastructure-as-Code (IaC) principles.
  • Prior experience in migrating an organization off a traditional iPaaS platform or eliminating legacy middleware.
  • Experience with Generative AI integration for data access (e.g., NLQ, feature stores).

Core Technologies
  • Snowflake
  • Python (or Java/Scala)
  • Event Streaming (Kafka or similar)
  • AWS (or other major cloud platform)
  • Apache Iceberg / Amazon S3
  • Advanced SQL (including stored procedures, UDFs/UDTFs)
  • Modern Orchestration tools (e.g., Airflow)

Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company's total compensation package.
Pay Range
$168,200-$227,600 USD
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.
Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.

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