Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8-10 years of experience in AWS, SQL databases, and Python. Contract length is unspecified, with a competitive pay rate. Key skills include ETL frameworks, Tableau, and CI/CD pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Security #Complex Queries #Data Pipeline #GitHub #Programming #Version Control #Kubernetes #PostgreSQL #S3 (Amazon Simple Storage Service) #Tableau #Data Engineering #GIT #BI (Business Intelligence) #Oracle #AWS (Amazon Web Services) #API (Application Programming Interface) #Docker #AWS Lambda #MySQL #Redshift #Compliance #Databases #SQS (Simple Queue Service) #Datasets #Deployment #Agile #Scala #Automation #Scripting #Data Migration #Data Governance #Computer Science #Cloud #Data Modeling #Python #"ETL (Extract #Transform #Load)" #SNS (Simple Notification Service) #Lambda (AWS Lambda) #SQL (Structured Query Language) #Migration #Bash
Role description
Experienced Data Engineer with 8 to 10 years in designing and optimizing data pipelines, cloud infrastructure, and BI solutions. Strong expertise in AWS (Lambda, Glue, S3, EMR, Redshift), SQL/relational databases (Oracle, MySQL, PostgreSQL), and Python for data engineering and automation. Skilled in Salesforce data models, Tableau dashboards, and implementing ETL frameworks, CI/CD pipelines, and containerization (Docker/Kubernetes). Proven track record of delivering scalable, secure, and business-focused data solutions in Agile environments.
Skills & Expertise
• A robust background in AWS services such as Lambda, Glue, S3, EMR, SNS, SQS, CloudWatch, Redshift, and Bedrock, with hands-on experience in designing and managing cloud-based data workflows.
• Strong expertise in SQL and relational databases including Oracle, MySQL, and PostgreSQL, with proven ability to write complex queries, optimize performance, and handle large datasets.
• Familiarity with the Salesforce platform, including data models, standard and custom objects, and integration methods for data migration and reporting.
• Proficiency in Python programming for data engineering tasks such as ETL pipeline development, data validation, and API integration.
• Skilled in scripting (Bash, Shell, Python) to automate repetitive tasks and streamline processes across data environments.
• Hands-on experience with Tableau dashboards, including design, customization, and troubleshooting performance issues for better business insights.
• Knowledge of data modeling and ETL frameworks, with experience in building scalable pipelines for structured and unstructured data.
• Experience with containerization and orchestration tools such as Docker and Kubernetes for deploying and managing applications in cloud environments.
• Strong understanding of CI/CD pipelines and version control (Git/GitHub) to ensure efficient and reliable deployment of code and infrastructure changes.
• Familiarity with data governance, quality checks, and security best practices, ensuring compliance and reliability across sensitive datasets
Education:
Bachelors in Computer Science
Experienced Data Engineer with 8 to 10 years in designing and optimizing data pipelines, cloud infrastructure, and BI solutions. Strong expertise in AWS (Lambda, Glue, S3, EMR, Redshift), SQL/relational databases (Oracle, MySQL, PostgreSQL), and Python for data engineering and automation. Skilled in Salesforce data models, Tableau dashboards, and implementing ETL frameworks, CI/CD pipelines, and containerization (Docker/Kubernetes). Proven track record of delivering scalable, secure, and business-focused data solutions in Agile environments.
Skills & Expertise
• A robust background in AWS services such as Lambda, Glue, S3, EMR, SNS, SQS, CloudWatch, Redshift, and Bedrock, with hands-on experience in designing and managing cloud-based data workflows.
• Strong expertise in SQL and relational databases including Oracle, MySQL, and PostgreSQL, with proven ability to write complex queries, optimize performance, and handle large datasets.
• Familiarity with the Salesforce platform, including data models, standard and custom objects, and integration methods for data migration and reporting.
• Proficiency in Python programming for data engineering tasks such as ETL pipeline development, data validation, and API integration.
• Skilled in scripting (Bash, Shell, Python) to automate repetitive tasks and streamline processes across data environments.
• Hands-on experience with Tableau dashboards, including design, customization, and troubleshooting performance issues for better business insights.
• Knowledge of data modeling and ETL frameworks, with experience in building scalable pipelines for structured and unstructured data.
• Experience with containerization and orchestration tools such as Docker and Kubernetes for deploying and managing applications in cloud environments.
• Strong understanding of CI/CD pipelines and version control (Git/GitHub) to ensure efficient and reliable deployment of code and infrastructure changes.
• Familiarity with data governance, quality checks, and security best practices, ensuring compliance and reliability across sensitive datasets
Education:
Bachelors in Computer Science
