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Data Engineer ( Citizen OR Green Card)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5-8 years of experience in data engineering and cloud technologies, focusing on AWS and Microsoft tools. It offers a 6-month contract at $65-$75/hour, located in Newark, NJ (Hybrid).
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
November 8, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Newark, NJ
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #GIT #SQL (Structured Query Language) #Data Architecture #Data Governance #DevOps #Azure #Computer Science #Docker #Data Processing #Data Quality #Python #Agile #API (Application Programming Interface) #Java #IAM (Identity and Access Management) #Scala #Microservices #GDPR (General Data Protection Regulation) #Cloud #Data Security #AWS (Amazon Web Services) #Data Integration #Compliance #Snowflake #Lambda (AWS Lambda) #Security #Redshift #Databricks #Data Pipeline #Data Engineering #"ETL (Extract #Transform #Load)" #Data Modeling #Kubernetes #Code Reviews
Role description
Job Title: Senior Software Engineer (Level 2/3) – Data, APIs, and Cloud - ONLY CITIZEN AND GREEN CARD Company: Leading Financial Services & Insurance Organization Location: Newark, NJ 07102 (Hybrid – 3 days onsite, 2 days remote) Type: 6-Month Contract-to-Hire Pay $65- $75 About the Role We are seeking a highly skilled Senior Software Engineer (Data & Cloud) with a strong background in data engineering, API development, and AWS cloud technologies. This role is ideal for professionals passionate about building robust, scalable data platforms and optimizing cloud-based solutions for high-impact business applications. As a key contributor, you will design, develop, and optimize data-driven solutions leveraging Microsoft Fabric, Microsoft Purview, and other modern data services to support enterprise-level data initiatives within a dynamic financial and insurance environment. Key Responsibilities β€’ Design and implement data pipelines, APIs, and backend systems using modern cloud technologies (AWS preferred). β€’ Develop and maintain data integration and transformation solutions leveraging Microsoft Fabric, Purview, and related tools. β€’ Collaborate with cross-functional teams including Data Architects, Analysts, and DevOps to deliver end-to-end data solutions. β€’ Ensure data quality, governance, and compliance with enterprise and regulatory standards. β€’ Optimize system performance, scalability, and cost-efficiency within the cloud environment. β€’ Participate in code reviews, design discussions, and agile ceremonies, promoting engineering best practices. β€’ Troubleshoot and resolve complex production issues related to data processing or integration. Required Skills & Qualifications β€’ Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred). β€’ 5–8 years of experience as a Software Engineer or Data Engineer with a focus on APIs, data services, and cloud-based systems. β€’ Proven experience with AWS Cloud services (Lambda, S3, Glue, Redshift, IAM, etc.). β€’ Strong proficiency in Python, Java, or Scala for backend and data engineering development. β€’ Solid understanding of RESTful APIs, microservices architecture, and event-driven systems. β€’ Experience with Microsoft Fabric, Microsoft Purview, or equivalent modern data governance and analytics platforms. β€’ Expertise in SQL, data modeling, and performance optimization for large-scale data systems. β€’ Familiarity with CI/CD pipelines, Git, and modern DevOps practices. β€’ Excellent problem-solving skills with attention to scalability, maintainability, and performance. Preferred Skills β€’ Experience in the financial services or insurance industry. β€’ Knowledge of data security, privacy, and compliance frameworks (e.g., GDPR, SOC 2). β€’ Exposure to Snowflake, Databricks, or Azure Data Services. β€’ Familiarity with containerization technologies such as Docker and Kubernetes.