Iris Software Inc.
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Newark, NJ, with a contract-to-hire duration. Key skills include AWS, Microsoft Fabric, and Medallion architecture. Requires 10+ years in data engineering, with 3+ years in AWS, and relevant certifications preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#BI (Business Intelligence) #Semantic Models #Spark (Apache Spark) #Data Ingestion #Metadata #Compliance #Databricks #Redshift #SQL (Structured Query Language) #DevOps #Data Pipeline #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Data Governance #PySpark #GitHub #Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Athena #Data Science #Dataflow #Microsoft Power BI #Security #Cloud #Lambda (AWS Lambda) #Automation #Data Lake #Data Quality #Data Lakehouse #Spark SQL #Data Lineage #Data Architecture #S3 (Amazon Simple Storage Service) #Terraform #Data Layers #Python #Data Modeling #Azure #Synapse #Azure DevOps #Scala #Data Engineering
Role description
Greetings!
One of our direct clients is looking to hire AWS Data Engineer in Newark NJ. This role is contract to hire role and hybrid in Newark NJ. Please see to below job description.
Position: AWS Data Engineer/ Senior AWS Data Engineer
Location: Newark NJ (Hybrid 3 days onsite per week)
Duration: contract to hire
Key Skills: AWS, Data Engineering, Microsoft fabric, medallion architecture
Key Responsibilities
• Design and implement data ingestion, transformation, and orchestration pipelines using AWS native services (Glue, Lambda, S3, Redshift, EMR, Athena, etc.) and Microsoft Fabric components (Data Factory, Lakehouse, Dataflows, Power BI integration).
• Architect and maintain Medallion (Bronze–Silver–Gold) data layers to support robust data lineage, governance, and performance optimization.
• Collaborate with business and analytics teams to define data models, schema evolution strategies, and data quality frameworks.
• Build and optimize Lakehouse solutions leveraging OneLake within Fabric and AWS data lakes.
• Implement CI/CD pipelines for data engineering workflows using tools such as CodePipeline, GitHub Actions, or Azure DevOps.
• Develop metadata-driven ETL/ELT processes that support automation, reusability, and scalability.
• Ensure compliance with data governance, security, and access control policies across multi-cloud environments.
• Collaborate closely with data architects, analysts, and data scientists to enable analytics, ML, and BI use cases efficiently.
Required Skills & Experience
• 10+ years of overall experience in data engineering, with at least 3+ years in AWS ecosystem.
• Strong working knowledge of Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Power BI integration).
• In-depth understanding and practical implementation experience with the Medallion architecture (Bronze, Silver, Gold layers).
• Expertise in Python, PySpark, SQL, and data transformation frameworks.
• Solid experience with data lakehouse concepts, delta/parquet file formats, and schema evolution.
• Familiarity with Databricks, Synapse, or Azure Data Lake environments is an advantage.
• Strong understanding of data modeling (dimensional/star schema) and ETL/ELT orchestration.
• Experience with IaC (Infrastructure as Code) tools such as Terraform or CloudFormation is a plus.
• Excellent problem-solving skills and ability to work in cross-functional cloud environments.
Preferred Qualifications
• Certifications: AWS Certified Data Analytics / Solutions Architect, Microsoft Certified: Fabric Analytics Engineer Associate.
• Experience integrating AWS data pipelines with Microsoft Fabric for hybrid analytics.
• Familiarity with Purview, Data Governance frameworks, and Power BI Semantic Models.
Best Regards,
Greetings!
One of our direct clients is looking to hire AWS Data Engineer in Newark NJ. This role is contract to hire role and hybrid in Newark NJ. Please see to below job description.
Position: AWS Data Engineer/ Senior AWS Data Engineer
Location: Newark NJ (Hybrid 3 days onsite per week)
Duration: contract to hire
Key Skills: AWS, Data Engineering, Microsoft fabric, medallion architecture
Key Responsibilities
• Design and implement data ingestion, transformation, and orchestration pipelines using AWS native services (Glue, Lambda, S3, Redshift, EMR, Athena, etc.) and Microsoft Fabric components (Data Factory, Lakehouse, Dataflows, Power BI integration).
• Architect and maintain Medallion (Bronze–Silver–Gold) data layers to support robust data lineage, governance, and performance optimization.
• Collaborate with business and analytics teams to define data models, schema evolution strategies, and data quality frameworks.
• Build and optimize Lakehouse solutions leveraging OneLake within Fabric and AWS data lakes.
• Implement CI/CD pipelines for data engineering workflows using tools such as CodePipeline, GitHub Actions, or Azure DevOps.
• Develop metadata-driven ETL/ELT processes that support automation, reusability, and scalability.
• Ensure compliance with data governance, security, and access control policies across multi-cloud environments.
• Collaborate closely with data architects, analysts, and data scientists to enable analytics, ML, and BI use cases efficiently.
Required Skills & Experience
• 10+ years of overall experience in data engineering, with at least 3+ years in AWS ecosystem.
• Strong working knowledge of Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Power BI integration).
• In-depth understanding and practical implementation experience with the Medallion architecture (Bronze, Silver, Gold layers).
• Expertise in Python, PySpark, SQL, and data transformation frameworks.
• Solid experience with data lakehouse concepts, delta/parquet file formats, and schema evolution.
• Familiarity with Databricks, Synapse, or Azure Data Lake environments is an advantage.
• Strong understanding of data modeling (dimensional/star schema) and ETL/ELT orchestration.
• Experience with IaC (Infrastructure as Code) tools such as Terraform or CloudFormation is a plus.
• Excellent problem-solving skills and ability to work in cross-functional cloud environments.
Preferred Qualifications
• Certifications: AWS Certified Data Analytics / Solutions Architect, Microsoft Certified: Fabric Analytics Engineer Associate.
• Experience integrating AWS data pipelines with Microsoft Fabric for hybrid analytics.
• Familiarity with Purview, Data Governance frameworks, and Power BI Semantic Models.
Best Regards,
