Senior Data Engineer

Revecore

23h • Remote

About The Position

Revecore is embarking on re-architecting and modernizing its core platform. The
Data Technology at Revecore is empowering the business in unlocking new
opportunities by integrating data and machine learning across our products and
business functions. This team is composed of Data Engineering, Analytics
Engineering, Data Science and Machine Learning (ML) Engineering specializations.

The Senior Data Engineer will join the Technology function, solving complex data
problems for the Revecore Data Platform. The ideal candidate is capable of
contributing to platform, architecture, and automation best practices, while
also diving deep into specific areas and finding the best path forward. You are
expected to pave the path for the data teams around data ingestion, data
pipelines and data operations. You will be responsible for building a modern
data lakehouse platform that will transform Revecore and its capabilities.

Requirements

• Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI.
• Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow.
• Deep expertise in Python and SQL is required.
• Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential.
• Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts.
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms.
• Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows.
• 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.

Benefits

• We offer paid training and incentive plans
• Our medical, dental, vision, and life insurance benefits are available from the first day of employment
• We enjoy excellent work/life balance
• Our Employee Resource Groups build community and foster a culture of belonging and inclusion
• We match 401(k) contributions
• We offer career growth opportunities
• We celebrate 12 paid holidays and generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level