Data Engineer – Remote (US)
Company: Jarvis Recruitment
Location: Remote (Remote)
Salary: $140,000 - $160,000 a year
Type: Full-time
Level: Senior
Remote: Yes
Posted: 2026-03-11
About this role
At Hire With Jarvis, we help organizations of all sizes hire the right people, in the right seats, at the right time.
We are currently partnering with a valued client to find a Data Engineer who is passionate about building scalable data infrastructure and enabling real-time insights across the business. This role plays a key part in shaping how data flows throughout the organization, supporting both operational decision-making and long-term analytics.
If you enjoy solving complex data challenges, working with modern Microsoft data platforms, and helping teams unlock the power of real-time intelligence, this is an opportunity to make a meaningful impact.
About the Role
As the Data Engineer, you will help design, build, and maintain the company’s data infrastructure within the Microsoft Fabric ecosystem. The role focuses on both real-time data streaming and long-term analytical data processing.
You will work closely with analysts, developers, and business stakeholders to ensure data systems are reliable, scalable, and optimized for performance. While this is not a formal data architecture role, there is strong potential for the right person to grow into architectural responsibilities over time.
This role is ideal for someone who enjoys building robust pipelines, working with streaming data, and improving how organizations use data to make decisions.
What You’ll Do
Build and maintain data pipelines
- Create and maintain Microsoft Fabric Eventstreams to support real-time data ingestion
- Develop and manage Fabric Pipelines to query and ingest data from external REST APIs
Develop real-time intelligence systems
- Build and manage Eventhouses and KQL databases for low-latency data querying
- Create RTI Dashboards to support operational reporting and real-time decision making
Support analytical data infrastructure
- Build and maintain Fabric Lakehouses, Notebooks, and Semantic Models
- Provide clean, re...