JMD Technologies Inc.
Principal Data Engineer | AWS | Data Pipelines
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires 10+ years in Data Engineering, proficiency in AWS, Python, SQL, and experience with Apache Airflow and dbt. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Compliance #Data Lake #"ETL (Extract #Transform #Load)" #BigQuery #SQL (Structured Query Language) #Data Engineering #Security #Redshift #Data Warehouse #Data Quality #Scala #Airflow #Data Pipeline #Azure #Python #AWS (Amazon Web Services) #Apache Airflow #Computer Science #GCP (Google Cloud Platform) #Cloud #dbt (data build tool)
Role description
Title: Principal Data Engineer | AWS | Data Pipelines
Location: Remote (EST/CST/MST Time Zones Only)
Employment Type: Contract
Status: Accepting Candidates
About the role
Join a team building scalable, cloud-based data solutions that power enterprise analytics and data products. This role focuses on designing high-performance data platforms, optimizing pipelines, and delivering reliable data solutions for business stakeholders.
Key Responsibilities
• Design and build scalable ETL/ELT, Data Pipelines, Data Warehouses, and Data Lakes.
• Develop cloud-based data solutions using AWS, Python, and SQL.
• Build and maintain orchestration workflows using Apache Airflow and dbt.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
• Ensure high data quality, security, and compliance across data platforms.
• Mentor junior engineers and translate business requirements into technical solutions.
Qualifications
• 10+ years of experience in Data Engineering with ETL/ELT, Data Pipelines, Data Warehouses, and Data Lakes.
• 15+ years of combined experience in data-focused roles.
• Strong proficiency in Python and SQL.
• Hands-on experience with AWS, Azure, or GCP, and Redshift or BigQuery.
• Experience with Apache Airflow and dbt.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
Title: Principal Data Engineer | AWS | Data Pipelines
Location: Remote (EST/CST/MST Time Zones Only)
Employment Type: Contract
Status: Accepting Candidates
About the role
Join a team building scalable, cloud-based data solutions that power enterprise analytics and data products. This role focuses on designing high-performance data platforms, optimizing pipelines, and delivering reliable data solutions for business stakeholders.
Key Responsibilities
• Design and build scalable ETL/ELT, Data Pipelines, Data Warehouses, and Data Lakes.
• Develop cloud-based data solutions using AWS, Python, and SQL.
• Build and maintain orchestration workflows using Apache Airflow and dbt.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
• Ensure high data quality, security, and compliance across data platforms.
• Mentor junior engineers and translate business requirements into technical solutions.
Qualifications
• 10+ years of experience in Data Engineering with ETL/ELT, Data Pipelines, Data Warehouses, and Data Lakes.
• 15+ years of combined experience in data-focused roles.
• Strong proficiency in Python and SQL.
• Hands-on experience with AWS, Azure, or GCP, and Redshift or BigQuery.
• Experience with Apache Airflow and dbt.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
