Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with 15+ years of experience, focusing on AWS cloud data services. Contract length is unspecified, with a pay rate of "TBD." Location is hybrid in Fort Mill, SC. Key skills include AWS Glue, PySpark, and data pipeline development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
South Carolina, United States
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🧠 - Skills detailed
#API (Application Programming Interface) #AWS (Amazon Web Services) #Spark (Apache Spark) #Data Analysis #"ETL (Extract #Transform #Load)" #PySpark #REST (Representational State Transfer) #Aurora #Business Analysis #Lambda (AWS Lambda) #Datasets #SQL (Structured Query Language) #Data Engineering #Data Pipeline #Big Data #Redshift #Data Design #AWS Glue #Snowflake #Cloud #Python
Role description
These are the C2C positions.
position 1:Lead AWS Glue Data Engineer
position 2:AWS Glue Data Engineer
position 3:AWS Tech Lead
Position 4:Lead Data Engineer
Position 5: Data Analyst /Business Analyst/Business Data Analyst
Location: SC/TX/NY/NJ/CA(Hybrid)
Job Title: Lead Data Engineer
Location: Fort Mill, SC (Hybrid)
Experience:13+Years
Must Skill:
- 15+ years of experience in Data Engineering, with at least 8+ years on AWS cloud data services.
- Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities
- Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets
- Build robust data pipelines on the Cloud using AWS Glue, Aurora Postgres, EKS, Redshift, PySpark, Lambda, and Snowflake.
- Build Rest-based Data API using Python and Lambda.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Implement architectures to handle large-scale data and its organization
- Execute strategies that inform data design and architecture partnering with enterprise standard
- Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement
These are the C2C positions.
position 1:Lead AWS Glue Data Engineer
position 2:AWS Glue Data Engineer
position 3:AWS Tech Lead
Position 4:Lead Data Engineer
Position 5: Data Analyst /Business Analyst/Business Data Analyst
Location: SC/TX/NY/NJ/CA(Hybrid)
Job Title: Lead Data Engineer
Location: Fort Mill, SC (Hybrid)
Experience:13+Years
Must Skill:
- 15+ years of experience in Data Engineering, with at least 8+ years on AWS cloud data services.
- Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities
- Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets
- Build robust data pipelines on the Cloud using AWS Glue, Aurora Postgres, EKS, Redshift, PySpark, Lambda, and Snowflake.
- Build Rest-based Data API using Python and Lambda.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Implement architectures to handle large-scale data and its organization
- Execute strategies that inform data design and architecture partnering with enterprise standard
- Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement
