

S4 Analytics LLC
AWS Data Engineering Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineering Lead in San Francisco, CA, on a hybrid basis for an unspecified contract length. Pay rate is competitive. Requires 8+ years in data engineering, strong AWS skills, advanced Python, and leadership experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
California, United States
-
π§ - Skills detailed
#SQL (Structured Query Language) #BI (Business Intelligence) #R #Leadership #Scala #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Data Processing #Snowflake #GIT #Redshift #Data Pipeline #Python #Data Quality #Visualization #Amazon Redshift #DevOps #Data Engineering #Code Reviews #Airflow #Programming #Lambda (AWS Lambda) #Data Modeling
Role description
Job Title: AWS Data Engineering Lead
Location: San Francisco, CA(Locals Preferred but ok in US)
Mode: Hybrid(3 day a week onsite)
Role Summar
yWe are seeking a highly skilled AWS Data Engineering Lead with strong hands-on experience in building scalable data platforms on AWS. The ideal candidate will lead data engineering initiatives, design robust data pipelines, perform code reviews, and ensure best practices in data modeling and governance
.
Key Responsibiliti
β’ esLead the design and development of scalable data pipelines using AWS servic
β’ esArchitect and optimize data solutions using Amazon Redshift and AWS Athe
β’ naDevelop and maintain ETL/ELT pipelines using Pyth
β’ onDrive data modeling (dimensional & normalized models) for analytics and reporti
β’ ngPerform code reviews and enforce coding standards, best practices, and CI/CD process
β’ esCollaborate with cross-functional teams including analytics, BI, and business stakeholde
β’ rsEnsure data quality, governance, and performance optimizati
β’ onMentor and guide junior data engineers and enforce engineering excellen
ce
Required Skills & Experie
β’ nce
β’ 8+ years in data engineering with 3+ years in a leadership/lead r
β’ ole
β’ Strong hands-on experience wi
β’ th:AWS Redsh
β’ iftAWS Ath
β’ enaS3, Glue, Lambda (nice to have but expected in ecosyst
β’ em)
β’ Advanced Python programming for data engineer
β’ ing
β’ Strong expertise in data modeling (star/snowflake schemas, normalizati
β’ on)
β’ Experience with large-scale data processing and optimizat
β’ ion
β’ Proven experience in code reviews, design reviews, and mentor
β’ ing
β’ Familiarity with SQL performance tuning and query optimizat
ion
Nice to
β’ HaveExperience with Airflow or other orchestration t
β’ oolsExposure to real-time data processing (Kinesis, Ka
β’ fka)Knowledge of DevOps practices (CI/CD, Git, automated test
β’ ing)Experience with data visualization tools or BI platf
orms
Job Title: AWS Data Engineering Lead
Location: San Francisco, CA(Locals Preferred but ok in US)
Mode: Hybrid(3 day a week onsite)
Role Summar
yWe are seeking a highly skilled AWS Data Engineering Lead with strong hands-on experience in building scalable data platforms on AWS. The ideal candidate will lead data engineering initiatives, design robust data pipelines, perform code reviews, and ensure best practices in data modeling and governance
.
Key Responsibiliti
β’ esLead the design and development of scalable data pipelines using AWS servic
β’ esArchitect and optimize data solutions using Amazon Redshift and AWS Athe
β’ naDevelop and maintain ETL/ELT pipelines using Pyth
β’ onDrive data modeling (dimensional & normalized models) for analytics and reporti
β’ ngPerform code reviews and enforce coding standards, best practices, and CI/CD process
β’ esCollaborate with cross-functional teams including analytics, BI, and business stakeholde
β’ rsEnsure data quality, governance, and performance optimizati
β’ onMentor and guide junior data engineers and enforce engineering excellen
ce
Required Skills & Experie
β’ nce
β’ 8+ years in data engineering with 3+ years in a leadership/lead r
β’ ole
β’ Strong hands-on experience wi
β’ th:AWS Redsh
β’ iftAWS Ath
β’ enaS3, Glue, Lambda (nice to have but expected in ecosyst
β’ em)
β’ Advanced Python programming for data engineer
β’ ing
β’ Strong expertise in data modeling (star/snowflake schemas, normalizati
β’ on)
β’ Experience with large-scale data processing and optimizat
β’ ion
β’ Proven experience in code reviews, design reviews, and mentor
β’ ing
β’ Familiarity with SQL performance tuning and query optimizat
ion
Nice to
β’ HaveExperience with Airflow or other orchestration t
β’ oolsExposure to real-time data processing (Kinesis, Ka
β’ fka)Knowledge of DevOps practices (CI/CD, Git, automated test
β’ ing)Experience with data visualization tools or BI platf
orms






