Data Integrations & Pipeline Backend Engineer
Data Integrations & Pipeline Backend Engineer
22
Bahir Dar
Job Views:
Created Date: 2026-04-15
End Date: 2026-06-13
Experience: 7 - 10 years
Salary: 2200
Industry: Ed -Tech
Openings: 1
Primary Responsibilities :
Job Title: Data Integrations & Pipeline Backend Engineer
Location: Remote
Vacancy: 1
Experience Required: 7 to 10 Years
Salary Budget: USD 1400 – USD 2200 per month
Job Summary:
We are looking for a skilled Data Integrations & Pipeline Backend Engineer to design, build, and maintain scalable data pipelines and integration systems. The ideal candidate will have strong experience in backend development, data engineering, and handling large-scale data workflows.
Preferred Skills:
- Experience with big data technologies (Spark, Hadoop)
- Knowledge of microservices architecture
- Experience with containerization (Docker, Kubernetes)
- Exposure to real-time data processing
Working Setup:
- Fully Remote
Experience Requirements:
Key Responsibilities:
- Design and develop scalable data pipelines and ETL processes
- Build and maintain backend services for data integrations
- Integrate data from multiple sources (APIs, databases, third-party systems)
- Ensure data quality, consistency, and reliability
- Optimize data processing performance and scalability
- Work closely with data analysts, DevOps, and product teams
- Monitor and troubleshoot data pipeline issues
Required Skills & Qualifications:
- 7–10 years of experience in backend development / data engineering
- Strong proficiency in Python, Java, or similar backend languages
- Experience with data pipeline tools (Airflow, Kafka, etc.)
- Strong knowledge of databases (SQL & NoSQL)
- Experience with REST APIs and system integrations
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Understanding of ETL/ELT processes and data warehousing
