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

Location:

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

Responsibilities:

— 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:

— Highly preferred technical skills: Dataiku, Tableau, Streamlit, Artifactory

— 5+ years of Data Engineering experience utilizing designated technologies and tools.

— Profound knowledge and hands-on experience with Python (Pandas, boto3), SQL, Spark, Databricks, DWH, Snowflake

— 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

— A background or experience in life science, particularly in neuroscience (NS) projects, is highly preferred.

— Experience in designing laboratory and/or medical data management systems is a plus.

— Willing to work East Coast Hours (GMT-4) - at least for the first two-three months, then the schedule may become more compromised/flexible.

— Availability until 17:00 Eastern time

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Nice to have:

— Experience in Dataiku, Tableau, Streamlit, and Artifactory

We offer:

— Competitive compensation

— Remote work

— Flexible working hours

— A team with excellent tech expertise

— 3-month contract with possible extension based on project needs and performance