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

Contract Length: 12 Months (11/17/2025 - 11/16/2026)