TechClub Inc
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with 11+ years of experience, focusing on AWS Glue, Redshift, and data pipeline optimization. Contract length and pay rate are unspecified. Key skills include Python, SQL, and API development for web applications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Aurora #React #Data Modeling #AWS Glue #MySQL #PostgreSQL #Data Architecture #Visualization #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #Data Engineering #Datasets #Programming #Data Pipeline #Compliance #Security #Scala #AWS (Amazon Web Services) #Data Lake #Aurora PostgreSQL #SQL (Structured Query Language) #Data Warehouse #Cloud #Python #AWS IAM (AWS Identity and Access Management) #Terraform #Redshift #Data Security #IAM (Identity and Access Management) #DevOps
Role description
Role : Lead Data Engineer
Experience: 11+ Must genuine Years
Key Responsibilities:
• Design, build and optimize data pipelines using AWS Glue, Lambda, and Step Functions for ingestion, transformation, and curation.
• Develop and maintain data lakes and data warehouses (Redshift) to support analytics and visualization.
• Integrate Aurora (PostgreSQL/MySQL) as a serving layer for APIs and dashboards.
• Design APIs or direct query interfaces that expose curated datasets for React-based dashboards and web applications.
• Define and implement data models, partitioning strategies, and schema evolution best practices for performance and scalability.
Security, Governance & Compliance:
• Implement data security policies, encryption, and role-based access controls using AWS IAM, KMS, Lake Formation, and Secrets Manager.
• Implement CI/CD pipelines for data workflows in collaboration with DevOps teams.
Required Skills & Qualifications:
• 7+ years of experience in data engineering and AWS data architecture.
• Strong expertise with AWS Glue, Redshift, S3, Lake Formation, Aurora (Postgres/MySQL).
• Proven experience building APIs or exposing curated datasets for web applications (preferably React or similar front-end frameworks).
• Strong programming skills in Python and SQL.
• Experience with data modeling, ETL/ELT frameworks, and performance optimization.
• Working knowledge of Terraform/CloudFormation and CI/CD practices.
Role : Lead Data Engineer
Experience: 11+ Must genuine Years
Key Responsibilities:
• Design, build and optimize data pipelines using AWS Glue, Lambda, and Step Functions for ingestion, transformation, and curation.
• Develop and maintain data lakes and data warehouses (Redshift) to support analytics and visualization.
• Integrate Aurora (PostgreSQL/MySQL) as a serving layer for APIs and dashboards.
• Design APIs or direct query interfaces that expose curated datasets for React-based dashboards and web applications.
• Define and implement data models, partitioning strategies, and schema evolution best practices for performance and scalability.
Security, Governance & Compliance:
• Implement data security policies, encryption, and role-based access controls using AWS IAM, KMS, Lake Formation, and Secrets Manager.
• Implement CI/CD pipelines for data workflows in collaboration with DevOps teams.
Required Skills & Qualifications:
• 7+ years of experience in data engineering and AWS data architecture.
• Strong expertise with AWS Glue, Redshift, S3, Lake Formation, Aurora (Postgres/MySQL).
• Proven experience building APIs or exposing curated datasets for web applications (preferably React or similar front-end frameworks).
• Strong programming skills in Python and SQL.
• Experience with data modeling, ETL/ELT frameworks, and performance optimization.
• Working knowledge of Terraform/CloudFormation and CI/CD practices.
