Lorven Technologies Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Fort Mill, SC, for 6+ months at a pay rate of "TBD". Requires expertise in AWS Glue, Lambda, Airflow, Postgres, and 6+ years of Data Engineering experience. Bachelor's degree required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Fort Mill, SC
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🧠 - Skills detailed
#Snowflake #Scala #AWS (Amazon Web Services) #Deployment #Lambda (AWS Lambda) #Data Pipeline #Data Modeling #SQL (Structured Query Language) #Terraform #Cloud #Data Lake #Airflow #Automation #Monitoring #GitHub #Apache Airflow #Spark (Apache Spark) #SNS (Simple Notification Service) #AWS IAM (AWS Identity and Access Management) #Python #AWS Glue #Data Warehouse #Logging #IAM (Identity and Access Management) #Data Engineering #Data Architecture #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #PySpark #Data Processing
Role description
Hi
Our client is looking for a Data Engineer (AWS Glue, Airflow, Lambda, Postgres) project in Fort mill, SC below is the detailed requirement.
Job positing Title: Data Engineer (AWS Glue, Airflow, Lambda, Postgres)
Location: Fort mill, SC
Required Skills: AWS-native data services,AWS Glue, Airflow, Lambda, Postgres
Job description:
We are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow. The role focuses on building scalable, event-driven data pipelines and supporting data processing and analytics on AWS and Postgres platforms.
• Bachelor’s degree in related field
• 6+ years of experience in Data Engineering or a related field.
• Strong hands-on expertise in AWS Glue, Lambda, EventBridge, and S3.
• Experience building and orchestrating workflows using Apache Airflow (MWAA preferred).
• Strong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.
• Experience with Python / PySpark for ETL development.
• Solid understanding of event-driven data architecture and pipeline design.
• Familiarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.
• Experience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation.
Preferred Skills
• Experience with Terraform or infrastructure-as-code tools.
• Knowledge of data lake formats (Parquet, Iceberg, Delta).
• Understanding of data modeling, partitioning, and schema evolution.
• Familiarity with AWS services such as Lake Formation, SNS, and CloudTrail.
• Exposure to Snowflake or other data warehouse platforms is a plus.
Hi
Our client is looking for a Data Engineer (AWS Glue, Airflow, Lambda, Postgres) project in Fort mill, SC below is the detailed requirement.
Job positing Title: Data Engineer (AWS Glue, Airflow, Lambda, Postgres)
Location: Fort mill, SC
Required Skills: AWS-native data services,AWS Glue, Airflow, Lambda, Postgres
Job description:
We are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow. The role focuses on building scalable, event-driven data pipelines and supporting data processing and analytics on AWS and Postgres platforms.
• Bachelor’s degree in related field
• 6+ years of experience in Data Engineering or a related field.
• Strong hands-on expertise in AWS Glue, Lambda, EventBridge, and S3.
• Experience building and orchestrating workflows using Apache Airflow (MWAA preferred).
• Strong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.
• Experience with Python / PySpark for ETL development.
• Solid understanding of event-driven data architecture and pipeline design.
• Familiarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.
• Experience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation.
Preferred Skills
• Experience with Terraform or infrastructure-as-code tools.
• Knowledge of data lake formats (Parquet, Iceberg, Delta).
• Understanding of data modeling, partitioning, and schema evolution.
• Familiarity with AWS services such as Lake Formation, SNS, and CloudTrail.
• Exposure to Snowflake or other data warehouse platforms is a plus.
