Data Engineer

apartmentDev Partners placeDavao scheduleFull-time calendar_month 

We’re Hiring Data Engineer - 100% Remote

We’re looking for a Mid-level Data Engineer to help build the backbone of a scalable data ecosystem. In this role, you’ll design and maintain ETL/ELT pipelines, develop transformation workflows, and ensure data flows seamlessly across systems.

Your work will transform raw data into structured, reliable datasets that drive analytics, reporting, and smarter decision-making.

?♂️ What You’ll Be Doing
  • Design, develop, and maintain ETL/ELT pipelines to move and transform data efficiently.
  • Write optimized SQL queries for data extraction, transformation, and loading.
  • Utilize scripting languages (e.g., Python) to automate data workflows and integration processes.
  • Design and implement data transformation workflows to support reporting, analytics, and operational use cases.
  • Create and maintain source-to-target mappings and ensure accurate data lineage.
  • Collaborate with analytics and business teams to understand data requirements and deliver scalable solutions.
  • Ensure data quality, consistency, and reliability through validation and monitoring.
  • Optimize pipeline performance and troubleshoot data issues proactively.
  • Maintain comprehensive documentation for processes, workflows, and data structures.
✅ What We’re Looking For
  • At least 3 years of experience as a data engineer or related field.
  • Great with SQL for complex queries and data manipulation.
  • Hands on experience on scripting language (like Python) to automate tasks and handle data
  • Experienced with building and managing systems that move data from one place to another (ETL/ELT).
  • Can communicate well and work effectively with others.
  • Work Schedule
  • 8:00 AM – 5:00 PM Philippine Time
  • What You’ll Get
  • Above-market compensation
  • Long-term opportunity with possible extension
  • Hands-on role in enterprise-grade data engineering projects
  • Collaborative environment with modern tools and practices
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