Senior Big Data Engineer - Cloud-Driven Data Platforms

JobCubby; Coffeyville, Northern (KS, KY); Hybrid; USD 60,000 - 106,000; Full time

Job summary

JobCubby is seeking a Big Data Engineer in a hybrid role to design, build, and optimize scalable data platforms in a cloud-native environment. You will develop pipelines, storage, and processing workflows, while ensuring data quality and reliability across large datasets.

The ideal candidate has 3+ years of data engineering or backend experience, strong Python/Java/Scala skills, and hands-on experience with Spark, Kafka, Airflow, and Kubernetes.

Qualifications

• B.Sc. in Computer Science, Software Engineering, or a related field
• 3+ years of experience in data engineering or backend development
• Strong programming skills in Python, Java, Scala
• Experience with Cloud platforms and Big Data technologies
• Spark, Kafka, Airflow, Hadoop
• Docker, Kubernetes, and CI/CD practices
• SQL, ETL processes, and distributed data system

Responsibilities

• Develop and maintain scalable data pipelines and processing workflows.
• Build and optimize data storage, ingestion, and transformation solutions.
• Support large-scale data platforms and ensure data quality and reliability.
• Collaborate with engineering and analytics teams on data-driven initiatives.
• Monitor, troubleshoot, and improve system performance.

Skills

Python

Java

Scala

Cloud platforms

Education

B.Sc. in Computer Science, Software Engineering, or related field

Tools

Spark

Kafka

Airflow

Hadoop

Docker

Kubernetes

CI/CD

SQL

Job description

JobCubby is seeking a Big Data Engineer in a hybrid role to design, build, and optimize scalable data platforms in a cloud-native environment. You will develop pipelines, storage, and processing workflows, while ensuring data quality and reliability across large datasets.

The ideal candidate has 3+ years of data engineering or backend experience, strong Python/Java/Scala skills, and hands-on experience with Spark, Kafka, Airflow, and Kubernetes.