Data Engineer

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

Company: Wealth Management

Position: Data Engineer

Pay: $100K - $140K + Bonus

Locations: - First 90 days on site and then 1 day a week WFH - Plano, TX & Camas, WA

Work Authorization: ONLY USC and GC no other visas will be considered.

Education: Bachelor's degree in Computer Science, Information Technology, or other relevant field

Experience

• 5+ years' experience developing data-related solutions and software
• 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
• 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies
• 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components
• 2+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines
• Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software
• Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases
• Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar
• Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps 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