Lead/Architect - Data Engineer (W2 Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead/Architect - Data Engineer (W2 Role) with a contract length of unspecified duration, offering a competitive pay rate. Candidates must have 5+ years of experience, strong SQL skills, and proficiency in AWS, Python, and PySpark. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Minnesota, United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Quality #Automation #Security #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Complex Queries #Compliance #Data Processing #SQL Queries #Redshift #Data Transformations #Spark (Apache Spark) #Python #Scripting #Scala #Data Pipeline #PySpark #Data Architecture #Big Data #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Engineering
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.
