Data Engineer

We are seeking a highly skilled Data Engineer II to design, build, and scale robust data platforms that power analytics and product use cases. This role requires strong ownership in developing data pipelines, optimizing infrastructure, and ensuring high standards of data quality, governance, and performance. The ideal candidate brings deep hands-on experience with modern data technologies and thrives in a fast-paced, product-driven environment. 

Data Pipeline Development 

• Design, build, and maintain scalable data pipelines for ingesting, transforming, and loading data across batch and real-time (streaming) systems. 
• Integrate data from diverse sources while ensuring reliability, scalability, and efficiency. 

Data Modeling 

• Design and implement optimized data models, warehouse schemas, and tables for analytics and reporting. 
• Apply best practices in data architecture to support scalable data consumption. 

Platform & Infrastructure Management 

• Manage and optimize data platforms and infrastructure including Spark, Snowflake, Kafka, Airflow, and Kubernetes. 
• Ensure high availability, scalability, and fault tolerance of data systems. 

Data Quality & Observability 

• Implement data validation frameworks, automated testing, and monitoring systems. 
• Establish alerting mechanisms to ensure data freshness, accuracy, and completeness. 

Governance & Security 

• Enforce data governance standards including access controls, data lineage, and compliance. 
• Ensure secure handling of sensitive data (PII) aligned with regulatory requirements. 

Performance & Cost Optimization 

• Optimize queries, partitioning strategies, file formats, and compute resources. 
• Continuously improve system performance while managing infrastructure costs. 

Tooling & Automation 

• Develop and maintain CI/CD pipelines for data workflows. 
• Build internal tools, reusable frameworks, and automation solutions to improve engineering productivity. 

• 5–8 years of experience in data engineering or a related field.
• Strong programming skills in Python, Scala, or Java.
• Advanced proficiency in SQL and data modeling concepts.
• Hands-on experience with:
• Apache Spark (distributed data processing)
• Snowflake or similar cloud data warehouses
• Kafka or other streaming platforms
• Airflow or similar orchestration tools
• Kubernetes (container orchestration)
• Proven experience building both batch and real-time data pipelines. 

• N/A 

• Expected Salary Range: $85,000 - $135,000
• Vacancy Status: Open Position to be filled
• Mode of Work: Hybrid
• Use of AI: Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and/or assess applicants for this position. Zafin will not utilize AI for conducting interviews and/or making hiring decisions.