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XRC Labs
XRC Labs
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Senior Data Engineer for AWS Operations
Job Functions:
Software Engineering, Other Engineering
Employment Types:
Part-time, Contractor
Posted on:

Company Overview is the world’s largest DNA App Store. Our platform's unique universal compatibility enables more than 100 DNA analysis apps and reports in our marketplace to analyze DNA data from any test (23andMe, AncestryDNA, whole genome sequencing) and provide useful information on health, wellness, nutrition, fitness, and genealogy.

Our user base is rapidly expanding and the personal genomics market is experiencing unprecedented growth. We’re venture-backed and scaling rapidly to meet consumer demand. is focused on changing lives and changing the world. Our service helps people understand and use the valuable information in their DNA so they can live healthier, happier, and longer lives.

Job Description

We are seeking a Senior Data Engineer for our Cloud Operations. The right candidate is someone who has deep experience building a variety of AWS solutions for and is passionate about working with the latest AWS serverless technologies to drive the business forward.

The candidate is an expert at implementing and optimizing AWS Aurora, Athena and Glue solutions to rapidly process large datasets for a consumer application and also has significant experience developing Redshift and serverless solutions in AWS.


  • Expert with all the following AWS technologies: AWS Aurora, Athena, Glue, S3, AWS Serverless (Lambda, SQS, SNS, API Gateway)
  • Significant experience developing serverless solutions in AWS
  • Significant experience with RedShift and data warehouses
  • Expert in ETL processes, AWS Glue.
  • Expert with Python 3
  • Proficient with data analysis tool Pandas
  • Troubleshooting systems and deployments
  • Great understanding of Agile project delivery
  • Great verbal and written communication skills
  • Possess a natural curiosity and excitement for learning new technology

Type of position

Contract or part time with possibility of transitioning into full time


Fully remote

Application steps

  • Apply via LinkedIn:
  • Submit the applicant survey (the link to the survey is provided when applying through LinkedIn - it should take ~2 minutes to complete).
  • Applications are reviewed once the applicant survey is submitted. Applications without the survey will not be reviewed.
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