Hybrid Medical Data Engineer II — Device & Analytics

Pharmavise Corporation; Valencia; Hybrid; USD 100,000 - 160,000; Full time

Job summary

Pharmavise Corporation seeks a Medical Data Specialist II to design and manage data infrastructure for a medical device context. You will architect data models, build pipelines, and enable analytics across CRM and enterprise systems, collaborating with Product Managers and customers in an agile hybrid work setup.

The role emphasizes HIPAA-aligned data practices, real-time data delivery, and robust data APIs to support internal operations, customers, and partners.

Qualifications

• Bachelor's or master's degree in computer science, Engineering, Bioinformatics, or related field.
• 5+ years of experience in data engineering.
• Prefer prior experience working with regulated healthcare data (e.g., HIPAA, FDA 21 CFR Part 11)

Responsibilities

• Provides technical guidance related to data architecture, data models and meta data management to senior IT and business leaders.
• Defines and implements data flows through and around digital products.
• Participates in data modeling and testing.
• Extracts relevant data to solve analytical problems; ensure development teams have the required data.
• Interacts with the business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT.
• Works closely with database teams on topics related to data requirements, cleanliness, accuracy etc.
• Tracks analytics impact on business.
• Monitors market watch.
• Develops sustainable data driven solutions with current new gen data technologies to meet the needs of the organization and business customers.
• Builds data pipeline frameworks to automate high-volume and real-time data delivery for Hadoop and streaming data hub.
• Builds robust systems with an eye on the long-term maintenance and support of the application.
• Builds data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.
• Transforms complex analytical models into scalable, production-ready solutions.
• Continuously integrates and ships code into our own premise and cloud production environments.
• Develops applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.
• Works directly with Product Managers and customers to deliver data products in a collaborative and agile environment.

Skills

ETL development

Data modeling

Python

SQL

APIs & integration

FHIR/HL7 data schemas

HIPAA/FDA 21 CFR Part 11

Education

Bachelor's or master's degree in CS/Engineering/Bioinformatics

Tools

PostgreSQL

MySQL

MongoDB

DynamoDB

HL7/FHIR interfaces

EHR integration

Scala

Spark

Terraform

AWS Glue

AWS EMR

AWS S3

AWS Lambda

AWS ECS

Flink

Kafka

Job description

Medical Data Specialist II — Medical Device (Hybrid — Valencia, CA) Contract

Valencia, United States | Posted on 10/21/2025

From development to commercialization, we partner with Pharmaceutical, Medical Device and Biotechnology clients to provide solutions to complex compliance issues. We collaborate with our partners by providing technical expertise in Quality, Regulatory Compliance and Manufacturing Science and Technology. Our business mission is to ensure our clients exceed their compliance goals while improving patient health and safety. Visit us at www.pharmavise.com and follow us on LinkedIn: https://www.linkedin.com/company/pharmavisecorp

Job Description

Our Fortune 500 Medical Device client has an exciting opportunity for a Medical Data Specialist II.

Job Summary:

Designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

Key Responsibilities :

• Provides technical guidance related to data architecture, data models and meta data management to senior IT and business leaders.

• Defines and implements data flows through and around digital products.

• Participates in data modeling and testing.

• Extracts relevant data to solve analytical problems; ensure development teams have the required data.

• Interacts with the business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT.

• Works closely with database teams on topics related to data requirements, cleanliness, accuracy etc.

• Tracks analytics impact on business.

• Monitors market watch.

• Develops sustainable data driven solutions with current new gen data technologies to meet the needs of the organization and business customers.

• Builds data pipeline frameworks to automate high-volume and real-time data delivery for Hadoop and streaming data hub.

• Builds robust systems with an eye on the long-term maintenance and support of the application.

• Builds data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.

• Transforms complex analytical models into scalable, production-ready solutions.

• Continuously integrates and ships code into our own premise and cloud production environments.

• Develops applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.

• Works directly with Product Managers and customers to deliver data products in a collaborative and agile environment.

Education & Experience:

- Bachelor's or master's degree in computer science, Engineering, Bioinformatics, or related field .

- 5+ years of experience in data engineering. Firm.

- Prefer prior experience working with regulated healthcare data (e.g., HIPAA, FDA 21 CFR Part 11)

Core Technical Skills required :

- ETL Development: Proficiency in building robust pipelines.

- Data Modeling: Strong knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) data models, especially clinical or device data schemas (FHIR, HL7, OMOP).

- Cloud Platforms: Experience with HIPAA-compliant cloud services.

- Programming: Strong Python and SQL skills; Spark or Scala is a plus.

- APIs & Integration: RESTful APIs, HL7/FHIR data ingestion, integration with EHRs and medical devices.

- Experience in Python, AWS Glue, AWS EMR, AWS S3, AWS Lambda, AWS ECS.

-Experience in one of the following: Flink, Kafka, Spark, Terraform

Other Details:

Schedule: 06:00:AM - 02:30:PM with s ome flex ibility with start/end times

Work Setup: HYBRID - 3 days onsite in Valencia, CA

Pharmavise Corporation is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.