Lead/Senior Data Engineer

We are currently looking for Data Engineers to assist in developing intelligent solutions enabling our customers to accelerate discovery, and acquire clinical insights, and address R&D challenges.


Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.


  • Data organization and analysis: handling structured, semi-structured, unstructured, and image-based data.
  • Building data systems and pipelines
  • Preparing data for prescriptive and predictive modeling
  • Designing end-to-end pipelines within a hybrid big data architecture, using Cloud Native AWS, Python, SQL, etc.
  • Leveraging AWS Cloud services for building data pipelines and ensuring effective monitoring
  • Collaborating with data scientists and architects across various projects

What we expect:

  • 7+ years of Data Engineering experience utilizing designated technologies and tools.
  • Profound knowledge and hands-on experience with Python (Pandas, boto3), SQL, Spark, Databricks, DWH
  • Proficient use of orchestrators such as Airflow
  • Expertise with AWS services essential for Data Engineering: AWS Glue, AWS Lambda, S3, RDS, Redshift, Athena, SQS, SNS, etc.
  • Ability to write robust code with Python.
  • Deep understanding of pub-sub architecture
  • Strong upper-intermediate or higher (B2+) proficiency in English
  • Solid analytical and problem-solving skills

Nice to have:

  • Experience with AWS Dynamo DB, Aurora (including serverless nuances), Elasticache, Kinesis services, Neptune
  • Familiarity with AWS Networking
  • Familiarity with Azure 
  • Experience with Snowflake

We offer:

  • Competitive compensation
  • Remote or office work
  • Flexible working hours
  • Healthcare benefits: medical insurance and paid sick leave
  • Continuous education, mentoring, and professional development programs
  • A team with an excellent tech expertise
  • Certifications paid by the company
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If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!