Data Engineer

Klanik; 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 an IT Engineering consulting company that supports its clients in their digital and technological projects.

The KLANIK Group now brings together more than 750 talents, working across 16 offices in Europe, North America, Africa, and the Middle East. These are committed, unconventional, and passionate experts, involved in strategic projects thanks to their high level of expertise in Software, DevOps, Cloud, Agility, Cybersecurity, Big Data & AI.

Job Description

We are looking for a Data Engineer to design, build, and maintain a scalable and reliable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, working closely with BI, Analytics, and business stakeholders.

Key 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 visualizationh3?