Chryselys
Data Engineering Tech Lead for Digital Insights(DI)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineering Tech Lead for Digital Insights in South San Francisco, CA, lasting 12+ months at a competitive pay rate. Requires 10+ years in data engineering, AWS expertise, and pharmaceutical data experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
South San Francisco, CA
-
🧠 - Skills detailed
#RDS (Amazon Relational Database Service) #Data Modeling #Python #Redshift #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Data Profiling #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Data Integration #Airflow #Data Quality #Data Engineering #PySpark #SQL (Structured Query Language) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service)
Role description
Job Title : Data Engineering Tech Lead for Digital Insights(DI)
Location - South San Francisco, CA
Contract Duration : 12+ months
Expected Role Start Date - Immediately
Role Job Description:-
• 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration
• Hands on expert experience in the AWS Data Engineering Tech Stack: S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway
• Detailed experience with data modeling and data integration (ETL/ELT)
• Data Product knowledge and experience
• Pharma Commerical and Digital Marketing data experince will be plus
• Ability to lead and work through cross-functional teams
• Ability to lead and delivery project end to end working with Tech PM
• Good communication and teamwork skills
Job Title : Data Engineering Tech Lead for Digital Insights(DI)
Location - South San Francisco, CA
Contract Duration : 12+ months
Expected Role Start Date - Immediately
Role Job Description:-
• 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration
• Hands on expert experience in the AWS Data Engineering Tech Stack: S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway
• Detailed experience with data modeling and data integration (ETL/ELT)
• Data Product knowledge and experience
• Pharma Commerical and Digital Marketing data experince will be plus
• Ability to lead and work through cross-functional teams
• Ability to lead and delivery project end to end working with Tech PM
• Good communication and teamwork skills
