Job Description

Job Title : Data Engineer
Location:Remote
Rate : Best competitive rate on w2

Visa status Only USC / GC candidates

We are seeking a motivated Data Engineer to design, build, and maintain scalable data pipelines and data systems that support analytics and product use cases.

In this role, you will collaborate with cross-functional teams to understand data requirements and deliver reliable, high-quality data solutions. You will contribute to data engineering best practices, ensure data integrity, and support the delivery of efficient and scalable data platforms.

• Design, develop, and maintain batch and streaming ETL/ELT data pipelines.
• Build efficient data transformations and ensure reliable data delivery across systems.
• Optimize pipeline performance and troubleshoot data processing issues.

• Develop and maintain scalable and efficient data models.
• Design data storage solutions aligned with business and analytical requirements.
• Ensure data structures support high-performance querying and integration.

• Implement data validation rules and quality checks across pipelines.
• Ensure compliance with data governance and quality standards.
• Monitor data pipelines and resolve issues proactively.

• Support deployment, scheduling, and monitoring of data workflows.
• Work with CI/CD pipelines to ensure reliable releases and updates.
• Use Infrastructure as Code (IaC) practices for deployment automation.

• Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
• Identify dependencies, risks, and blockers early and communicate effectively.
• Collaborate with stakeholders to refine requirements and deliver solutions on time.

• Maintain clear technical documentation for pipelines and systems.
• Follow and promote coding standards and reusable development practices.
• Actively participate in code reviews and knowledge sharing.

• 2 5 years of experience in data engineering, ETL development, or related roles.
• Strong proficiency in SQL and Python .
• Hands-on experience with Azure and Databricks (Delta Live Tables, Unity Catalog).
• Experience with data integration and orchestration tools such as SnapLogic , Azure Data Factory , or Jenkins .
• Understanding of ETL/ELT pipelines and data processing workflows.
• Experience with APIs and data integration techniques.
• Knowledge of data modeling concepts (dimensional modeling, normalization).
• Familiarity with CI/CD pipelines and version control systems such as GitHub .
• Experience with Infrastructure as Code (Terraform preferred) .
• Exposure to data quality and monitoring tools (e.g., Soda or similar).
• Experience working in Agile environments with strong collaboration skills.

• Strong problem-solving and analytical mindset.
• Ability to work independently while contributing to team success.
• Good communication skills for technical and non-technical stakeholders.
• Eagerness to learn and grow in modern data engineering practices.

Best,

Bhavani
Recruiter | IT & Digital Marketing

bhavani@nukasanigroup.com
P: 630.454.0067
540 W Galena Blvd, Suite 200
Aurora, IL 60506

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