Senior Data Engineer - Azure ETL & Data Pipelines

Qode; Virginia (MN); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Wealth Management seeks a Data Engineer to design, develop, and operate robust data pipelines across cloud and on-premises environments. You will work with Azure-based services, SQL Server and NoSQL databases, and modern ETL/ELT tools to deliver scalable data assets for analytics teams.

The role emphasizes agile delivery, collaboration with BI teams, and strong DevOps practices. Candidates should have extensive SQL, Python, and Spark experience and a bias for reliable, well-documented solutions.

Qualifications

• 5+ years of experience developing data-related solutions and software.

Responsibilities

• Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
• Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems
• Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
• Develop and deploy structured, semi-structured, and unstructured data storage models and dimensional data models on various platforms to meet business requirements
• Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
• Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
• Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
• Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth

Skills

Azure

SQL

Python

ETL/ELT

Data modeling

SQL Server

NoSQL

Spark

Scala

DevOps

Agile

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Synapse

Cosmos DB

Kafka

Informatica

SSIS

GitHub

Azure DevOps

CI/CD pipelines

Job description

Wealth Management seeks a Data Engineer to design, develop, and operate robust data pipelines across cloud and on-premises environments. You will work with Azure-based services, SQL Server and NoSQL databases, and modern ETL/ELT tools to deliver scalable data assets for analytics teams.

The role emphasizes agile delivery, collaboration with BI teams, and strong DevOps practices. Candidates should have extensive SQL, Python, and Spark experience and a bias for reliable, well-documented solutions.