# Data Engineer

> Qode · Vietnam (Remote) · Full-time · Posted 2026-05-20

**Workplace:** remote

## Description

****About the Role****

We are looking for a **Data Engineer** to join our Data Platform team, focusing on building scalable production-grade data pipelines, ingestion systems, and migration workflows across operational and analytical data platforms.

In this role, you will work with systems such as **MongoDB, PostgreSQL/RDS, AWS, Airflow, Airbyte, Databricks, dbt**, and related data platform tools.

This is a good fit if you enjoy working with large-scale data systems, building reliable pipelines, and optimizing performance in a cloud-based environment.

****Responsibilities****

-   Design and build production-grade data pipelines using batch, streaming, incremental, and CDC-based patterns.
-   Build ingestion workflows from operational systems such as MongoDB, PostgreSQL, RDS, APIs, and event streams.
-   Design and operate data migration workflows, including full load, incremental sync, CDC replay, cutover, rollback, and reconciliation.
-   Convert semi-structured or NoSQL data into reliable relational and analytical models.
-   Build and optimize data processing jobs using Python, PySpark, Spark SQL, SQL, and Databricks.
-   Orchestrate workflows using Apache Airflow and manage connectors using Airbyte or similar tools.
-   Maintain data quality, observability, alerting, backfills, and production reliability across pipelines.
-   Work with AWS services such as S3, Lambda, IAM, EC2, RDS, DMS, SQS, Kinesis, or similar services.
-   Build modular, testable transformation layers using dbt where appropriate.
-   Document data flows, source-to-target mapping, pipeline behavior, data contracts, and operational runbooks.

****Requirements****

-   **5+ years of experience in Data Engineering**, not only analytics, BI, or reporting.
-   Proven hands-on ownership of production data pipelines, including design, implementation, deployment, monitoring, debugging, and backfill/recovery.
-   Strong experience building ETL/ELT pipelines with **full load, incremental load, and CDC-based patterns**.
-   Good understanding of CDC correctness, including **idempotency, deduplication, ordering, deletes/tombstones, late-arriving events, replay, and reconciliation**.
-   Hands-on experience with **OLTP databases**, preferably MongoDB and PostgreSQL/RDS.
-   Practical experience with **schema design**, including relational modeling, constraints, indexing, normalization/denormalization, and source-to-target mapping.
-   Experience migrating or syncing data between operational systems and analytical platforms, including validation, cutover, rollback, and reconciliation.
-   Strong SQL skills, including joins, CTEs, window functions, query optimization, and debugging incorrect results.
-   Strong Python or PySpark experience for data processing, automation, validation, and pipeline development.
-   Experience with production pipeline reliability: retries, idempotency, monitoring, alerting, backfill, and incident handling.
-   Hands-on AWS data pipeline experience using services such as S3, Lambda, IAM, RDS, DMS, SQS, Kinesis, Glue, or equivalent.

**_Nice to have_**

-   Advanced dbt modeling, metrics layers, semantic layer, or self-service analytics.
-   BI/dashboarding experience.
-   Great Expectations, Soda, or other data quality frameworks.
-   Databricks Unity Catalog or governance/catalog tools.
-   Terraform or Infrastructure as Code.
-   Docker, Kubernetes, or EKS.
-   CI/CD using GitHub Actions, GitLab CI, or similar.
-   Data warehouse modeling for analytics marts.

  

****👉 Our Benefit Packages:****

-   Attractive salary range and we are open to negotiate if you're a strong fit.
-   Hybrid/Remote-friendly culture, work where you grow best!
-   Flexible hours, async teamwork (we respect your focus time)
-   Work equipment support
-   Allowance for Certification & Skill Development
-   Year-end bonus & performance-based rewards
-   22 paid leaves from your 5th year - take a full month off
-   Career growth with personal coaching sessions
-   Open, collaborative team culture - no micromanagement, only trust
-   Tools & AI-powered workflows that make remote work easier

  

****About CoderPush****

**CoderPush** is a remote-first technology company that partners with startups and global businesses to build scalable, high-quality software products. We focus on long-term collaboration, clear communication, and delivering real impact through strong engineering and product thinking.

Please find more at: https://coderpush.com/

## Apply

[Apply at Qode](https://apply.workable.com/qodeworld/j/3C7D72B13E/apply)

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