Scipher Medicine is a precision immunology company that uses AI and network science to match patients with the most effective therapies. Its flagship product, PrismRA, is a blood-based test predicting whether a patient with RA will likely respond to anti-TNF therapy. Scipher Medicine is also developing the Spectra platform, which can be used to discover and validate new drug targets for various autoimmune diseases. The company has made significant progress quickly, with its PrismRA test already being used by clinicians in the US and Europe, and its Spectra platform has the potential to revolutionize drug development for autoimmune diseases.

Overview

We are seeking a skilled and autonomous Data Engineer to join our team. We are interested in candidates with experience designing, developing, and maintaining our data ingestion processes into Data Warehouses and other data pipelines.

This is a full-time position based in our Salt Lake City office. As a key member of our team, you'll be at the forefront of our data infrastructure transformation. Our dynamic environment and cutting-edge technology offer a unique chance to bring your innovative data pipeline concepts to life rapidly.

Role Requirements

Ability to translate business requirements, into effective data models in a data warehouse.
Autonomous learning. We’ll need folks who enjoy parsing large swaths of software documentation and gain sufficient prowess quickly to turn around and work on POCs that can be veritable candidates for production-ready processes/pipelines.
Advanced SQL skills, including schema design, CTEs, complex stored procedures, task etc. You’re familiar with standard data types but also variant types (json, xml). Extra points if you’re familiar with Snowflake-flavored syntax and features (stages, external functions, snowpipes, python UDFs, external tables, etc.).
Vast experience building DBT models. Our workflows/pipelines are becoming more complex, and we’d like to implement the scalability, extensibility, and unit-testing features of DBT. Extra points if you have experience with both the open source & cloud versions and can help us navigate that decision.
DevOps and CI/CD experience. Automating the process of promoting through dev/test/prod workflows. Extra points for Terraform experience.
Strong Python OOP We're seeking individuals well-versed in class utilization, inheritance, and functional programming. Live debugging and Python package creation should be second nature to you. Your code is clean, pythonic, and readable, and you appreciate a great formatter.
Experience standing up an Orchestration Tool. We’ve got our eye on Prefect Orchestration.
You’re great at creating and learning from internal documentation – we’re great at documenting. You understand that documentation (or playbooks as we call them) are living documents, not historical relics – and you update the playbook whenever an issue arises so we’re better prepared for next time.
Experience being on call on a rotating schedule.

Nice to have:

Understanding of HL7 - dev
AWS Experience – Points if you can speak to expertise in SAM, Lambda, S3, boto3, API gateway, or anything else you see as obviously missing from this list and can explain to us why.
GCP Experience – Points if you can speak to cloud functions, GCS, Big Query, ML related workflows, or anything else you see as obviously missing from this list and can explain to us why.
Salesforce API v51+ - We do a lot of reverse ETL work with Salesforce.
Streamlit Experience – We’d like to create some Snowflake Streamlit apps (or maybe even self-standing) at some point.

Scipher is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex,national origin, sexual orientation, gender identity, disability status,protected veteran status, or any other characteristic protected by law.

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