Data Engineer (Sign-on Bonus)

About the Role

Location: Danang or Hanoi (Hanoi-based hires work from the Danang office during the 2-month probation)

Everfit is looking for a skilled and detail-oriented Data Engineer to build and run the data platform behind our analytics, reporting and marketing tools. You will own ingestion, dbt modeling on Databricks and reverse ETL, making sure data is reliable, fresh and secure. You will work closely with Data Analysts, Product and Finance to turn their data needs into well-modeled, trusted datasets.

Responsibilities

• Data Ingestion: Build and operate ingestion pipelines using CDC (Estuary) from MongoDB and Postgres, and from SaaS sources (Fivetran, Stripe API, GA4, Statsig), orchestrated with Airflow and Databricks Jobs.
• Data Modeling: Build dbt models on Databricks in a medallion architecture (bronze, silver, gold) for Data Analysts and dashboards.
• Reverse ETL: Maintain reverse ETL jobs that push data to Iterable and Google Ads based on agreed data contracts. Campaign and journey setup is owned by the Marketing team.
• Data Quality & Monitoring: Run data quality and freshness checks, maintain alerting, troubleshoot pipeline incidents and write runbooks.
• Cost & Performance: Monitor and optimize the cost and performance of Databricks and our ingestion tools.
• Data Governance: Manage warehouse access controls and PII protection (Unity Catalog permissions, column masking).
• Documentation: Write design docs and technical documentation on Confluence.

Requirements

• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
• 3+ years in data engineering, with a solid understanding of data modeling and ETL/ELT.
• Strong SQL and Python.
• Hands-on experience with Databricks/Spark, Delta Lake, dbt and Airflow.
• Experience with CDC or incremental ingestion from MongoDB and/or Postgres.
• AWS experience: S3, EC2, IAM. Git and Docker.
• Experience integrating third-party REST APIs (rate limits, pagination, retries).
• Strong written English and good English speaking skills.

Preferred Skills

• Experience with Estuary, Fivetran or Kafka.
• Experience with AWS SQS/SNS and ECS.
• Experience with Stripe billing data.
• Experience building internal dashboards.
• Experience in the fitness or wellness industry.
• Daily use of AI coding agents in your workflow.

Benefits