Data Engineer: Databricks & AWS Data Platform

Klanik Group; Miami (FL); On-site; USD 100,000 - 150,000; Full time

Job summary

KLANIK is seeking a Data Engineer in Miami to design, build, and maintain a scalable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, collaborating with BI, Analytics, and business stakeholders.

The candidate will design ETL/ELT pipelines, evolve the Medallion architecture, and develop data models, schemas, and datasets for analytics and visualization in a cloud environment.

Qualifications

• Design scalable data platforms for analytics and data science.
• Strong Databricks experience and cloud data pipelines.
• Experience with data quality and DevOps practices.

Responsibilities

• Design and optimize ETL/ELT data pipelines on Databricks and AWS
• Maintain and evolve the Medallion architecture
• Build reusable frameworks for data ingestion, transformation, and validation
• Develop data models, schemas, and datasets for analytics and visualization

Skills

Databricks

ETL/ELT

Data quality

DevOps

Data modeling

Tools

Databricks

AWS

SQL

Job description

KLANIK is seeking a Data Engineer in Miami to design, build, and maintain a scalable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, collaborating with BI, Analytics, and business stakeholders.

The candidate will design ETL/ELT pipelines, evolve the Medallion architecture, and develop data models, schemas, and datasets for analytics and visualization in a cloud environment.