Remote Senior Data Engineer - Azure Data Platform

Revecore; United States; On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Paid training

Health insurance

401(k) matching

Generous PTO

Remote-friendly culture

Career growth opportunities

Holiday pay

Job summary

Revecore is seeking a Data Platform Engineer to help re-architect and modernize our core platform from a remote-based, USA-wide team. You will design scalable data pipelines, ensure platform reliability, and optimize costs across data infrastructure.

You will collaborate with Data Engineers, Analytics Engineers, Data Scientists, and ML Engineers to implement cloud-native data solutions using Azure, Snowflake, dbt, and Airflow, while leveraging Python, SQL, and C# in complex data workflows.

Qualifications

• Bachelor’s or Master’s degree in computer science or equivalent experience.

Responsibilities

• Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
• Improve the quality of the engineering practice, and the quality of the domain’s output.
• Design and develop scalable, maintainable, and reliable data pipelines.
• Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency.
• Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs.
• Proactively research and understand industry trends on various components of the data platform.

Skills

Azure

Python

SQL

C#

Power BI

Snowflake

dbt

Airflow

Terraform

CI/CD

.NET Core

Education

Bachelor’s or Master’s degree in computer science

Tools

Azure DevOps

Data pipelines

Job description

Revecore is seeking a Data Platform Engineer to help re-architect and modernize our core platform from a remote-based, USA-wide team. You will design scalable data pipelines, ensure platform reliability, and optimize costs across data infrastructure.

You will collaborate with Data Engineers, Analytics Engineers, Data Scientists, and ML Engineers to implement cloud-native data solutions using Azure, Snowflake, dbt, and Airflow, while leveraging Python, SQL, and C# in complex data workflows.