Actalent
Sr. Data Engineer
Hybrid- This role does require to be onsite from day 1 working about 2-3 days a week. 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 skilled 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 - Prefer prior experience working with regulated healthcare data e.g. HIPAA FDA 21 CFR Part 11 Top Skills Details - 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 Pay and Benefits The pay range for this position is $48.00 - $60.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Santa Clarita,CA. Application Deadline This position is anticipated to close on Sep 16, 2025.
Hybrid- This role does require to be onsite from day 1 working about 2-3 days a week. 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 skilled 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 - Prefer prior experience working with regulated healthcare data e.g. HIPAA FDA 21 CFR Part 11 Top Skills Details - 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 Pay and Benefits The pay range for this position is $48.00 - $60.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Santa Clarita,CA. Application Deadline This position is anticipated to close on Sep 16, 2025.