Senior Data Engineer

LevelUp; Philippines; Remote; PHP 400,000 - 600,000; Full time

Job summary

A specialized BPO company, LevelUp, is seeking a Senior Data Engineer to work remotely. The role requires expertise in Python and SQL for optimizing data pipelines and ETL processes. Join a dynamic team focusing on high-quality operational support and enjoy flexible working conditions with opportunities for growth and professional development.

Benefits

Flexible working conditions

Competitive salary

Growth opportunities

In-company training

Challenging projects

Qualifications

• 5+ years of experience in Data Engineering.
• Expert-level Python and SQL skills.
• Strong experience in designing ETL processes.

Responsibilities

• Develop and optimize ETL workflows using Python and SQL.
• Design and implement scalable data pipelines.
• Ensure efficient data storage and retrieval.

Skills

Python

SQL

ETL processes

Database performance tuning

Data modeling

Problem-solving

Tools

PostgreSQL

Oracle

Azure

AWS

GCP

PySpark

Job description

Company Overview

LevelUp is a specialized BPO company that partners with technology companies across the US, UK, Europe, and Canada to provide tailored outsourcing solutions. For over seven years, we’ve built a reputation for delivering high-quality operational and back-office support, helping our clients scale efficiently. Our team consists of highly skilled and passionate professionals who are dedicated to providing exceptional service, technical expertise, and seamless support to our clients.

Position Overview

We are looking for a Senior Data Engineer with deep expertise in Python and SQL. You will design, implement, and optimize data pipelines and ETL processes, ensuring high performance, scalability, and reliability. This is a fully remote position with flexible working conditions.

Responsibilities

• Develop and optimize ETL workflows using Python and SQL.
• Design and implement scalable data pipelines for processing various data sources.
• Work with relational databases (e.g., PostgreSQL, Oracle) to ensure efficient data storage and retrieval.
• Optimize SQL queries and Python scripts for performance and maintainability.
• Implement robust error handling, logging, and monitoring for data processing pipelines.
• Collaborate with cross-functional teams to integrate and manage data sources.

Requirements

• 5+ years of experience in Data Engineering.
• Expert-level Python and SQL skills – ability to write efficient, scalable, and maintainable code.
• Strong experience in designing ETL processes and working with large datasets.
• Solid understanding of database performance tuning and query optimization.
• Experience with data modeling and schema design.
• Familiarity with cloud storage solutions (Azure, AWS, or GCP).
• Strong problem-solving skills and ability to work independently.
• Nice to have: Experience with PySpark, orchestrators and knowledge of CI/CD for deployment process automation.

More Information

• The client is in the TOP 5 development companies in the USA
• You have FLEXIBLE working conditions and a COOPERATIVE environment
• Competitive salary
• Many CHALLENGING and exciting projects with new opportunities and learning
• GROWTH opportunities, skills and competencies improvement, and professional certification
• In-company TRAINING (English, Software / DevOps / Project management / Design / BusinessThe staff will be working within the client’s time zone (Central US Time).
• Permanent WFH setup

₱150,000 - ₱175,000 a month