TechClub Inc
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer contract position for 9+ years of experience, offering competitive pay. Key skills include AWS services, SQL, Python, and PySpark. Responsibilities involve designing ETL/ELT pipelines and ensuring data quality and security.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Python #SQS (Simple Queue Service) #Data Quality #Data Ingestion #Athena #Batch #PySpark #RDS (Amazon Relational Database Service) #Redshift #DevOps #Lambda (AWS Lambda) #Spark (Apache Spark) #Data Engineering #S3 (Amazon Simple Storage Service) #Terraform #DynamoDB #Security #"ETL (Extract #Transform #Load)" #Data Lake #Datasets #SQL (Structured Query Language) #AWS (Amazon Web Services) #SNS (Simple Notification Service) #Data Science #Schema Design #Compliance #IAM (Identity and Access Management) #Data Modeling #Cloud #Databases
Role description
Role- Senior Data Engineer
Experience: 9+ Must
Position: Contract W2
Key Responsibilities:
• Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
• Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
• Ensure data quality, governance, and security across all pipelines.
• Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
• Monitor and troubleshoot data workflows, ensuring high availability and performance.
• Stay updated with emerging AWS technologies and recommend improvements.
Required Skills & Qualifications
• Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
• Proficiency in SQL, Python and PySpark
• Knowledge of data modeling, schema design, and performance tuning.
• Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation).
• Experience with security best practices (IAM, encryption, compliance).
Role- Senior Data Engineer
Experience: 9+ Must
Position: Contract W2
Key Responsibilities:
• Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
• Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
• Ensure data quality, governance, and security across all pipelines.
• Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
• Monitor and troubleshoot data workflows, ensuring high availability and performance.
• Stay updated with emerging AWS technologies and recommend improvements.
Required Skills & Qualifications
• Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
• Proficiency in SQL, Python and PySpark
• Knowledge of data modeling, schema design, and performance tuning.
• Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation).
• Experience with security best practices (IAM, encryption, compliance).
