Data Engineer
JobsForHumanity
Posted: April 2, 2026
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Quick Summary
We are seeking a Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining robust data infrastructure that supports our organization's data-driven decision-making processes. The successful candidate will have expertise in building scalable data pipelines and working with cutting-edge technologies.
Required Skills
Job Description
Jobs for Humanity is partnering with emp_apr2_v6 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: emp_apr2_v6
We are seeking a skilled Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining robust data infrastructure that supports our organization's data-driven decision-making processes. You will work with cutting-edge technologies to ensure efficient data flow and accessibility for analytical and machine learning applications.
Job Purpose
The primary purpose of this role is to develop and maintain scalable, reliable data infrastructure that enables efficient data collection, storage, processing, and accessibility for analysis and machine learning applications, supporting the organization's data-driven initiatives.
Job Duties and Responsibilities
• Data Infrastructure Design
• Data Collection & Processing
• Python Programming
• SQL Development
• Scala Programming
• Apache Spark Implementation
• Apache Kafka Integration
• Apache Airflow Orchestration
• AWS Cloud Services
• Google Cloud Platform Management
• Data Pipeline Development
• ETL/ELT Processes
• Data Warehousing
• Data Storage Solutions
• Data Accessibility Optimization
Required Qualifications
• Python Proficiency
• SQL Expertise
• Scala Knowledge
• Apache Spark Experience
• Apache Kafka Experience
• Apache Airflow Experience
• AWS Cloud Platform
• Google Cloud Platform
• Data Engineering
• Data Pipeline Development
• Cloud Platform Experience
• Database Systems
• Data Warehousing
• ETL/ELT Processes