Job Description

Job Title: Sr. Data Engineer

Duration: 12+ Months (Possible extension)

Location: Valencia, CA 91355

Hybrid Role

Responsibilities:

• 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.
• 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.
• 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
• 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.
• Experience in Python, Flink, Kafka, Spark, AWS Glue, AWS EMR, AWS S3, AWS Lambda, AWS ECS, Terraform

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