Senior Data Engineer – Databricks Pipelines & Data Platform

Klanik Group; Miami (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Klanik Group is seeking a Data Engineer to design, build, and maintain a scalable data platform on Databricks and AWS, supporting analytics and data science use cases.

You will design ETL/ELT pipelines, implement data models and quality checks, and apply DevOps practices with Terraform, collaborating with BI and analytics stakeholders.

Join a growing team delivering high-impact data infrastructure across multiple business units.

Qualifications

• Bachelor's degree in Computer Science or related field (Master's preferred).
• 3+ years of experience as a Data Engineer.
• 2+ years building Databricks pipelines.
• Strong SQL and Python / PySpark / SparkSQL skills.
• 2+ years of dbt experience.
• 1+ year of Terraform.
• Experience with Git-based CI/CD workflows.
• Strong knowledge of big data architectures and data modeling.

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.
• Implement data quality checks and anomaly detection.
• Apply DevOps and CI/CD practices, strongly leveraging Terraform.
• Collaborate with cross-functional teams and support data infrastructure needs.
• Document pipelines, data models, and technical processes.
• Mentor team members and support Databricks platform administration.

Skills

SQL

Python

PySpark

SparkSQL

Databricks

Data Modeling

Big Data

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Databricks

dbt

Terraform

Git-based CI/CD

Job description

Klanik Group is seeking a Data Engineer to design, build, and maintain a scalable data platform on Databricks and AWS, supporting analytics and data science use cases.

You will design ETL/ELT pipelines, implement data models and quality checks, and apply DevOps practices with Terraform, collaborating with BI and analytics stakeholders.

Join a growing team delivering high-impact data infrastructure across multiple business units.