Data Enginner (Level 2/3) - Data, APIs, and Cloud

Job Description

Job Description

Job Title: Data Enginner (Level 2/3) – Data, APIs, and Cloud
Company: Leading Financial Services & Insurance Organization
Location: Newark, NJ 07102 (Hybrid – 3 days onsite, 2 days remote)
Type: 6-Month Contract-to-Hire

Pay Rate: $65-$75/hr

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

• Design and implement data pipelines, APIs, and backend systems using modern cloud technologies (AWS preferred).
• Develop and maintain data integration and transformation solutions leveraging Microsoft Fabric, Purview, and related tools.
• Collaborate with cross-functional teams including Data Architects, Analysts, and DevOps to deliver end-to-end data solutions.
• Ensure data quality, governance, and compliance with enterprise and regulatory standards.
• Optimize system performance, scalability, and cost-efficiency within the cloud environment.
• Participate in code reviews, design discussions, and agile ceremonies , promoting engineering best practices.
• Troubleshoot and resolve complex production issues related to data processing or integration.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred).
• 5–8 years of experience as a Software Engineer or Data Engineer with a focus on APIs, data services, and cloud-based systems.
• Proven experience with AWS Cloud services (Lambda, S3, Glue, Redshift, IAM, etc.).
• Strong proficiency in Python, Java, or Scala for backend and data engineering development.
• Solid understanding of RESTful APIs, microservices architecture, and event-driven systems .
• Experience with Microsoft Fabric , Microsoft Purview , or equivalent modern data governance and analytics platforms.
• Expertise in SQL , data modeling, and performance optimization for large-scale data systems.
• Familiarity with CI/CD pipelines , Git , and modern DevOps practices.
• Excellent problem-solving skills with attention to scalability, maintainability, and performance.

Preferred Skills

• Experience in the financial services or insurance industry .
• Knowledge of data security, privacy, and compliance frameworks (e.g., GDPR, SOC 2).
• Exposure to Snowflake, Databricks, or Azure Data Services .
• Familiarity with containerization technologies such as Docker and Kubernetes.