Senior Data Engineer

LingaTech

1d • Remote

About The Position

This role is responsible for designing and delivering scalable, data-driven applications that seamlessly integrate data processing, transformation, and business logic. The position partners closely with engineering and architecture teams to align application development with enterprise data strategies while ensuring performance, reliability, and best practices.

Requirements

• 5+ years of professional experience in software development and/or data engineering projects.
• 5+ years of experience contributing to application and data platform architecture and design discussions.
• 5+ years of hands-on experience with programming languages used in data processing and application development, including Python, Scala, SQL, and C#.
• 5+ years of experience applying data engineering principles and software architecture practices such as microservices, APIs, and integration patterns.
• 5+ years of experience working with both SQL and NoSQL databases, including data modeling, storage, and transformation.
• Proven experience deploying and supporting scalable applications on cloud platforms such as Azure, AWS, or Google Cloud.
• Strong problem-solving, communication, and leadership skills with the ability to mentor team members and influence technical decisions.
• Demonstrated ability to work independently and collaboratively in an agile, fast-paced environment.
• Strong written and verbal communication skills in English.

Nice To Haves

• Experience with containerization technologies such as Docker.
• Experience applying infrastructure-as-code practices.
• Experience working with Databricks.

Responsibilities

• Design, develop, and maintain robust, scalable applications that combine data processing, transformation, and business logic.
• Enforce architectural and design best practices across application and data layers.
• Collaborate with developers, architects, and stakeholders to align technical solutions with data strategies and business requirements.
• Build, test, and maintain reliable data pipelines integrated with application components.
• Support deployment, monitoring, and operational stability of data-centric applications in cloud or managed platform environments.
• Continuously evaluate and adopt emerging technologies, tools, and best practices in application development and data engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees