Remote Data Platform Engineer (Azure, Lakehouse)

Redcare Pharmacy; United States; Remote; USD 78,000 - 123,000; Full time

Benefits offered by this job

Work from Home up to 20 days/year (EU)

Team events

Kindergarten grant

Mental health support

Personal development

Deutschland Ticket

Urban Sports Club

Job summary

Redcare Pharmacy, Europe’s No.1 e-pharmacy, seeks a Data Engineer to design and optimize robust data pipelines and architectures that enable Data & AI models to deliver transformative insights. You will work across Azure, AWS or GCP, Databricks, and modern lakehouse tech to support high‑scale datasets and analytics initiatives.

The role requires 5+ years in data engineering, strong Python and SQL skills, and experience with DBT, CI/CD as well as distributed data processing systems.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong Python and SQL skills; translate business requirements into scalable solutions.
• Experience designing and supporting distributed data processing systems (Databricks) across Azure/AWS/GCP.

Responsibilities

• Design and build scalable data pipelines powering high‑impact data products.
• Transform and optimize large‑scale datasets for reliable reporting and analytics.
• Collaborate with data analysts, ML engineers, DevOps, backend developers, product managers and stakeholders.
• Promote clean, maintainable code, automation and continuous improvements across the data platform.

Skills

Python

SQL

Databricks

Azure

AWS

GCP

DBT

CI/CD

Delta Lake

Iceberg

Hudi

PostgreSQL

SQL Server

Oracle

DevOps

PySpark

Tools

Docker

Kubernetes

Snowflake

Azure Data Factory

Databricks

CI/CD pipelines

Job description

Redcare Pharmacy, Europe’s No.1 e-pharmacy, seeks a Data Engineer to design and optimize robust data pipelines and architectures that enable Data & AI models to deliver transformative insights. You will work across Azure, AWS or GCP, Databricks, and modern lakehouse tech to support high‑scale datasets and analytics initiatives.

The role requires 5+ years in data engineering, strong Python and SQL skills, and experience with DBT, CI/CD as well as distributed data processing systems.