Medical Data Specialist

Hybrid position 3 days onsite, Valencia, CA

Some flexibility with start/end times. NOT a temp-to-hire position.
Pay Rate: $60/hr.

Job Description:
HYBRID 3 days onsite in Valencia, CA

Business Job Title:
Medical Data Specialist II

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. Ensures systems are performing smoothly.

Provides technical guidance related to data architecture, data models, and metadata 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; ensures development teams have the required data.
Interacts with business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements for IT.
Works closely with database teams on topics related to data requirements, cleanliness, and accuracy.
Tracks analytics impact on business.
Monitors market trends.
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 hubs.
Builds robust systems with an eye on long-term maintenance and support of applications.
Builds data APIs and data delivery services that support critical operational and analytical applications for internal business operations, customers, and partners.
Transforms complex analytical models into scalable, production-ready solutions.
Continuously integrates and ships code into on-premise and cloud production environments.
Develops applications from the ground up using modern technology stacks such as Scala, Spark, Postgres, AngularJS, and NoSQL.
Works directly with Product Managers and customers to deliver data products in a collaborative and agile environment.

• 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).

• 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.

• AWS Tools: Experience in Python, AWS Glue, AWS EMR, AWS S3, AWS Lambda, AWS ECS.

• Experience in one or more of the following: Flink, Kafka, Spark, Terraform.