Software Engineer, Data Platform

Miyah HR AI; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Salary and equity

Professional development budget

Team retreats

Health and wellness benefits

Home-office allowance

Unlimited vacation

Parental leave

Job summary

Miyah HR AI is seeking a Data Platform Engineer to develop data systems that power analytics, reporting, and ML features in our software platform. You will own data pipelines, storage, access interfaces, and platform architecture, collaborating closely with engineering, product, and analytics teams.

The role emphasizes remote-first work in Europe with flexible hours, salary and equity, a professional development budget, team retreats, health and wellness benefits, home-office allowance,

Qualifications

• At least three years of software engineering experience focused on data systems.
• Experience with processing frameworks such as Spark or Kafka and with SQL.
• Familiarity with relational and NoSQL databases, data modeling, and schema optimization.
• Experience with cloud data services such as Redshift, BigQuery, or Snowflake.
• Strong programming skills in Python, Scala, or Java.
• Understanding of data privacy and security; Europe-based for team collaboration.

Responsibilities

• Build and operate scalable data pipelines and ETL processes.
• Design and optimize storage solutions, data models, and schemas.
• Create APIs for data access and platform integrations.
• Monitor data systems and maintain data quality, reliability, and security.
• Contribute to platform architecture and share knowledge with teammates.

Skills

Data pipelines

ETL

SQL

Cloud data services

Programming: Python/Scala/Java

Data modeling

Tools

Spark

Kafka

Redshift

BigQuery

Snowflake

Job description

Role overview

Develop the data systems that support analytics, reporting, and machine learning features in a software platform. The role covers data pipelines, storage, access interfaces, and platform architecture, with close coordination across engineering, product, and analytics.

Responsibilities

• Build and operate scalable data pipelines and ETL processes.
• Design and optimize storage solutions, data models, and schemas.
• Create APIs for data access and platform integrations.
• Monitor data systems and maintain data quality, reliability, and security.
• Contribute to platform architecture and share knowledge with teammates.

Requirements

• At least three years of software engineering experience focused on data systems.
• Experience with processing frameworks such as Spark or Kafka and with SQL.
• Familiarity with relational and NoSQL databases, data modeling, and schema optimization.
• Experience with cloud data services such as Redshift, BigQuery, or Snowflake.
• Strong programming skills in Python, Scala, or Java.
• Understanding of data privacy and security; Europe-based for team collaboration.

Nice to have

• Experience with data visualization tools.

Benefits and work setup

Remote-first work in Europe with flexible hours. The listed package includes salary and equity, a professional development budget, team retreats, health and wellness benefits, a home-office allowance, unlimited vacation, and parental leave.