Data Refinery Technical Solutions Engineer

Verily Health; Dallas (TX); On-site; USD 103,500 - 155,500; Full time

Job summary

Verily Health in the United States is seeking a Data Refinery Technical Solutions Engineer to help customers build data pipelines and curation strategies that accelerate biomedical research and healthcare innovation.

You will collaborate with Product, Engineering, Clinical Informatics, Data Science, and Commercial teams to design scalable ingestion, normalization, and transformation workflows across EHRs, registries, and genomic data.

Qualifications

• BA/BS degree in Computer Science, Engineering, Biomedical Informatics, Health Informatics, Data Science, or related field, or equivalent practical experience.
• 6+ years of experience in healthcare technology, data engineering, technical consulting, solutions engineering, or similar customer‑facing technical roles.
• Hands‑on experience with cloud platforms such as Google Cloud Platform (GCP), AWS, and/or Microsoft Azure.
• Proficiency in Python, Golang, Terraform, YAML, and SQL, including the ability to develop solutions and optimize moderately complex queries.
• Strong analytical, problem‑solving, communication, and project management skills, with a demonstrated ability to take ownership, proactively solve customer challenges, and manage multiple engagements simultaneously.

Responsibilities

• Analyze customer technical and business requirements to design implementation architectures, data strategies, and scalable cloud‑native ingestion and transformation pipelines for structured and unstructured data.
• Partner directly with customers to onboard, integrate, harmonize, and curate healthcare and research data sources including EHRs, registries, genomic and imaging systems, and custom datasets into standardized models such as FHIR and OMOP.
• Collaborate with Clinical Informatics teams to map and normalize clinical concepts, terminology systems, and workflows, while supporting patient identity resolution, longitudinal record generation, data linking, and data quality validation.
• Build, configure, and optimize data processing workflows, while providing technical enablement, training, best practices, and implementation support from discovery and proof of concept through pilot and production deployment.
• Partner with Product, Engineering, and Sales teams to influence product direction through customer feedback and develop reusable technical assets, reference architectures, implementation playbooks, and automation frameworks that improve delivery scalability.

Skills

Python

Golang

SQL

Terraform

YAML

Education

BA/BS in Computer Science or related field

Tools

GCP

AWS

Azure

BigQuery

Snowflake

Databricks

Spark

Job description

Verily Health in the United States is seeking a Data Refinery Technical Solutions Engineer to help customers build data pipelines and curation strategies that accelerate biomedical research and healthcare innovation.

You will collaborate with Product, Engineering, Clinical Informatics, Data Science, and Commercial teams to design scalable ingestion, normalization, and transformation workflows across EHRs, registries, and genomic data.