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