Data Engineer Consultant

Located on the edge of the beautiful Wasatch Mountains, Sera Prognostics, Inc. is a women’s health diagnostics company dedicated to improving the health of babies and mothers. We are a growing company tasked with becoming a global leader in high value women’s health diagnostics, delivering pivotal information that will improve health and improve the economics of healthcare delivery. According to Sera’s CEO, employees and affiliates here must possess three qualities to be successful: 1) the individual must be passionate and dedicated to changing the world; 2) they must be smart and work smart; and 3) they must have absolute integrity. If this is you, we urge you to keep reading!

We are seeking a Full-Time Data Engineer Consultant to support our growing company for up to 40 hours per week. As a Data Engineer Consultant, you will have the opportunity to design data pipelines and supporting infrastructure from the ground up, the right way, the first time. You will work with the Data Science Team to ensure the business utility of complex datasets, build ETL/ELT pipelines to encode business and scientific knowledge, and design views to ensure datasets are easy for stakeholders to consume. You will also design and populate databases with diverse pregnancy-related clinical and biological data to support our next generation products.

Location

Greater Salt Lake City, UT area preferred

Hybrid office/remote work (primarily remote with occasional in-office project meetings)

Hours

Consulting to be performed M-F during normal business hours.

Responsibilities

• Designing, creating, and maintaining the Sera Prognostics data pipeline architecture to support new and existing products.
• Ingesting and assembling complex datasets that meet business and scientific requirements from diverse fields such as public health, clinical evaluations, and laboratory results.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Building required infrastructure for optimal ETL/ELT of data from various data sources using SQL and supporting technologies (e.g., Dagster, DBT).
• Working with stakeholders including data science, quality assurance, product development, commercial, and executive teams and assisting them with data-related technical issues.
• Other duties as assigned by the manager.

Minimum Qualifications

• Minimum BS/BA degree in computer science, engineering, or related field.
• At least 5 years’ experience in Data Engineering or closely related field.
• Strong knowledge of ETL/ELT methods and data warehouse design methodologies.
• Expert SQL skills including principles of database design such as indexing and query optimization.

Preferred Qualifications

• Experience in biotech, medical diagnostics, or other heavily regulated field.
• Working knowledge of software engineering and/or data science principles.
• Experience with infrastructure as code.
• Familiarity with cloud-based data solutions.

Job Type: Full-time

Pay: $65.00 per hour

Expected hours: No more than 40 per week

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday

Work Location: In person