Lead Data Engineer (Fully Remote)

Marlabs Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Marlabs is seeking a Senior Data Engineer to design, build, and maintain scalable lakehouse architectures and enterprise data platforms that enable analytics, reporting, and AI-driven solutions. You will develop and manage secure ingestion frameworks (CDC, batch, API, file-based) from operational sources and create governed data models and metrics for trusted consumption.

The role requires strong Python and SQL skills, hands-on experience with Iceberg, Delta Lake, and Hudi, and collaboration

Qualifications

• 8+ years of experience in Data Engineering with end-to-end ownership of ingestion, transformation, storage and analytics delivery.
• Strong expertise in Python and SQL, including advanced data modeling, transformation frameworks, and performance optimization.
• Hands-on experience with lakehouse architectures and data platforms (Iceberg, Delta Lake, Hudi) and cloud-native solutions.
• Partner with AI/ML, platform engineering, and security teams to deliver governed data products and support regulatory compliance.
• Establish and enforce data governance standards, lineage documentation, and data contracts.

Responsibilities

• Design, build, and maintain scalable lakehouse architectures and enterprise data platforms for analytics, reporting, and AI-enabled solutions.
• Develop and manage secure data ingestion frameworks (CDC, batch, API, and file-based integrations) from source systems.
• Create and maintain data models, semantic layers, and governed metrics for trusted data consumption.

Skills

Python

SQL

Data Modeling

Data Governance

Analytics Delivery

Tools

Apache Iceberg

Delta Lake

Hudi

Cloud-native solutions

Job description

• Design, build, and maintain scalable lakehouse architectures and enterprise data platforms that support analytics, reporting, and AI-driven solutions.
• Develop and manage secure data ingestion frameworks, including CDC, batch, API, and file-based integrations from operational and transactional source systems.
• Create and maintain data models, semantic layers, and governed metrics that enable consistent, trusted, and business-ready data consumption.

Qualifications:

• 8+ years of experience in Data Engineering, including end-to-end ownership of data ingestion, transformation, storage, and analytics delivery.
• Strong expertise in Python and SQL, including advanced data modeling, transformation frameworks, and performance optimization.
• Hands-on experience with modern lakehouse architectures and data platforms, including Apache Iceberg, Delta Lake, Hudi, and cloud-native solutions.
• Partner with AI/ML, platform engineering, and security teams to deliver governed data products and support regulatory compliance.
• Establish and enforce data governance standards, lineage documentation, and data contracts.
• Experience in financial services or banking industry is highly preferred.

Marlabs

Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, they have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.