Job Description
We are seeking a highly skilled AWS Data Engineer to join our team supporting a leading client in the life sciences industry in Waukegan, IL . The ideal candidate will have deep expertise in AWS cloud services Python programming , and a strong understanding of data engineering best practices . Preference will be given to candidates with experience in the healthcare or life sciences domains.
Responsibilities
- Design, develop, and maintain scalable data pipelines on AWS
- Build and optimize data architectures using services like S3, Glue, Lambda, Redshift, EMR, Athena, Step Functions, etc.
- Write clean, reusable, and efficient code in Python for data extraction, transformation, and loading (ETL / ELT)
- Implement data governance, data quality, and data security best practices
- Collaborate with cross-functional teams including data scientists, analysts, and domain experts
- Optimize performance of large-scale data workflows
- Work in Agile environment and participate in sprint planning, reviews, and retrospectives
Required Qualifications
8+ years of experience in data engineering rolesProven expertise in AWS Cloud services for data processing and managementAdvanced proficiency in PythonHands-on experience with modern data pipeline frameworks and orchestration tools (e.g., Airflow, Step Functions)Familiarity with data lake and data warehouse architecturesStrong knowledge of SQL and experience with relational and NoSQL databasesExcellent problem-solving and communication skillsMust be authorized to work in the U.S. on a W2 basisPreferred Qualifications
Experience in healthcare, medical devices, or life sciences domainKnowledge of HIPAA, GxP, or other regulatory requirementsCompany Contact
LinkedIn : https : / / www.linkedin.com / company / hyr-global-source-inc
Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information TechnologyIndustries
IT Services and IT ConsultingJ-18808-Ljbffr