Data Engineer (W2 Role) (US Citizen Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (W2, US Citizen Only) with a contract length of unspecified duration, offering a competitive pay rate. Key skills include AWS, SQL, Python, and PySpark, requiring 5+ years of data engineering experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Remote
-
📄 - Contract type
W2 Contractor
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Minnesota, United States
-
🧠 - Skills detailed
#Redshift #Python #SQL (Structured Query Language) #Scripting #Data Architecture #"ETL (Extract #Transform #Load)" #Data Quality #Data Transformations #Data Pipeline #Big Data #Complex Queries #AWS (Amazon Web Services) #Scala #Automation #Security #Compliance #Data Engineering #SQL Queries #Lambda (AWS Lambda) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #PySpark #Data Processing
Role description
Data Engineer (AWS, SQL, Python, PySpark) – Remote - US citizen only
We’re seeking a hands-on Data Engineer to support a strategic enterprise data initiative. The right candidate will have strong technical expertise in building data pipelines, optimizing data systems, and especially in writing complex SQL queries for large-scale data environments.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines and infrastructure.
• Write and optimize complex SQL queries to support advanced analytics and reporting.
• Build and optimize data sets, data models, and ETL processes.
• Collaborate with cross-functional teams to understand business data needs and deliver insights.
• Ensure data quality, security, and compliance across systems.
• Support performance tuning, troubleshooting, and ongoing system improvements.
• Document processes and share knowledge across the engineering team.
Key Skills & Experience
• 5+ years of professional experience in data engineering or related roles.
• Strong SQL expertise with proven ability to write and optimize complex queries.
• Hands-on experience with AWS data tools (Redshift, Glue, Lambda, S3).
• Proficiency in Python for scripting, automation, and data transformations.
• Experience with PySpark for distributed data processing (nice to have).
• Solid understanding of data warehousing, ETL development, and big data architectures.
• Strong communication skills and ability to collaborate across technical and business teams.
Data Engineer (AWS, SQL, Python, PySpark) – Remote - US citizen only
We’re seeking a hands-on Data Engineer to support a strategic enterprise data initiative. The right candidate will have strong technical expertise in building data pipelines, optimizing data systems, and especially in writing complex SQL queries for large-scale data environments.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines and infrastructure.
• Write and optimize complex SQL queries to support advanced analytics and reporting.
• Build and optimize data sets, data models, and ETL processes.
• Collaborate with cross-functional teams to understand business data needs and deliver insights.
• Ensure data quality, security, and compliance across systems.
• Support performance tuning, troubleshooting, and ongoing system improvements.
• Document processes and share knowledge across the engineering team.
Key Skills & Experience
• 5+ years of professional experience in data engineering or related roles.
• Strong SQL expertise with proven ability to write and optimize complex queries.
• Hands-on experience with AWS data tools (Redshift, Glue, Lambda, S3).
• Proficiency in Python for scripting, automation, and data transformations.
• Experience with PySpark for distributed data processing (nice to have).
• Solid understanding of data warehousing, ETL development, and big data architectures.
• Strong communication skills and ability to collaborate across technical and business teams.
