Senior Data Engineer: Cloud Pipelines & Warehouses

Foundation Partners Group; United States; On-site; USD 130,000 - 190,000; Full time

Job summary

Foundation Partners Group is seeking a Senior Data Engineer to design, build, and operate modern data platforms at scale. You will work across Azure, Microsoft Fabric, and AWS to build reliable pipelines, performant data models, and self-service analytics that drive real business decisions.

This is a hands-on role that emphasizes clear architectures and practical implementation. This position focuses on containerized workload execution with Azure Container Apps Jobs for scheduled and

Qualifications

• 5–8 years of hands-on data engineering in production environments.
• Proven track record delivering data platforms on Azure and AWS.
• Experience migrating legacy on-premises infrastructure to cloud-native solutions.
• Hands-on experience with Azure Container Apps Jobs or a comparable containerized job execution platform.

Responsibilities

• Develop Python-based ETL/ELT pipelines ingesting data from APIs, flat files, databases, and SaaS platforms
• Build and deploy containerized jobs using Azure Container Apps Jobs, including scheduling, scaling rules, secrets management (Key Vault), and Container Registry integration
• Maintain data movement between on-premises SQL Server and cloud targets; design idempotent, fault-tolerant pipeline patterns with robust logging, alerting, and retry logic
• Partner with analytics teams to deliver clean, well-documented data models for Power BI and similar BI tools

Skills

Python

SQL

Microsoft Fabric

AWS

Azure

Data Modeling

ETL/ELT pipelines

Data Warehousing

Education

Bachelor's degree in CS/IS/Data Science

Tools

Azure Data Factory

Azure Container Apps Jobs

Fabric Data Pipelines

S3

Redshift

Power BI

Job description

Foundation Partners Group is seeking a Senior Data Engineer to design, build, and operate modern data platforms at scale. You will work across Azure, Microsoft Fabric, and AWS to build reliable pipelines, performant data models, and self-service analytics that drive real business decisions.

This is a hands-on role that emphasizes clear architectures and practical implementation. This position focuses on containerized workload execution with Azure Container Apps Jobs for scheduled and