Data Engineer

Kazakhstan, Remote. Posted 3 months ago

The role

You will build and own data pipelines and lakehouse architecture. You will turn raw data into reliable inputs for products used by millions of people.

What you will do

Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS
Shape lakehouse architecture on S3 and Delta Lake
Work with analytics, engineering, and product teams
Own projects end to end from design to ongoing support
Build self-service data solutions
Build and maintain scalable ETL/ELT pipelines
Optimize Spark jobs end to end
Manage Databricks Workflows, jobs, cluster configurations, and underlying infrastructure
Implement data governance and access control with Unity Catalog

Required qualifications

Hands-on experience with Databricks
Strong proficiency in Apache Spark (PySpark and/or Scala)
Strong Python for data engineering
SQL and Spark SQL for transformation and analytics
Experience with Delta Lake and lakehouse architectures
Experience writing clean, testable, maintainable code with Git-based version control

Nice to have

Experience with infrastructure-as-code such as Terraform or Ansible

Benefits

Stock option plan with four-year vesting and 25% cliff
Fully remote work available for eligible roles
Company-provided tools and equipment
Medical insurance support for you and your family
Access to an internal mental health support specialist
22 vacation days, Philippine public holidays, and 15 sick days
105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
Relocation support including flights, two weeks of accommodation, visas, paperwork, and logistics
Reimbursement of eligible pet relocation expenses
US$2,500 per year for flights home
Baby and family stipends for employees relocating to Manila
Opportunities to learn through meetups, conferences, and speaking opportunities

About the company

Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia. The team is Manila-based, globally distributed, and hybrid-first.