Talent.com
Senior Data Engineer

Senior Data Engineer

Cynet SystemsValencia, CA
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Job Description :

Pay Range : $58.02hr - $63.02hr

Responsibilities :

  • 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 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 premises and cloud production environments.
  • Develops applications from the ground up using a modern technology stack 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.

Education and 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).
  • Core Technical Skills :

  • 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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    Senior Data Engineer • Valencia, CA