Data Engineer - Remote

Overview

The Data Engineer will support the design, development, and optimization of modern data pipelines and cloud-based data platforms. This role involves building scalable ETL/ELT processes, integrating structured and unstructured data sources, and enabling secure, reliable data delivery for analytics, machine learning, and operational systems.

In Short

• Design and implement robust ETL/ELT data pipelines.
• Develop and optimize workflows for data ingestion and transformation.
• Support batch and real-time data integration.
• Manage infrastructure-as-code deployments.
• Collaborate with data scientists and analysts.
• Apply best practices in data governance.
• Ensure compliance with data privacy regulations.
• Document pipeline workflows and specifications.

Requirements

• Bachelor's degree in Computer Science or related field.
• Minimum 3 years of experience in data engineering.
• Experience with Apache Airflow, Spark, Kafka, Databricks, dbt, or Flink.
• Strong proficiency in SQL and programming languages like Python or Scala.
• Experience with cloud-based data infrastructure.
• Familiarity with containerization and CI/CD workflows.
• Understanding of modern data architecture patterns.
• Proven ability to lead data pipeline projects.

Benefits

• Generous medical, dental, and vision plans.
• Opportunity to work in different sectors.
• Flexibility for remote working opportunities.