Data Engineer

Qode; Plano, Northern (TX, KY); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Wealth Management is seeking a Data Engineer to design and deliver enterprise data assets. You will work with BI teams to build pipelines, warehouses, and analytical systems using Azure data services and modern ETL/ELT tools.

The role requires 5+ years in data solutions, strong SQL/Python skills, and hands-on Azure experience. Initial 90 days onsite in Plano, TX, with ongoing cadence of one day of remote work per week.

Qualifications

• 5+ years' experience developing data-related solutions and software.
• 5+ years with relational databases, including Microsoft Azure.
• 2+ years Azure IaaS/PaaS and other cloud technologies.
• 2+ years Azure data components: Data Factory, Synapse, Cosmos DB; GitHub and CI/CD.
• 2+ years of hands-on Azure cloud development and deployment with T-SQL, Azure SQL, Azure Storage.
• Advanced knowledge of ETL/ELT tools (SSIS, Informatica, Kafka, Spark, MuleSoft).
• Advanced knowledge of MS SQL Server, Oracle, or NoSQL databases.
• Advanced knowledge of Python, SQL, Scala, or similar languages.
• Familiarity with IT infra standards and DevOps tooling.

Responsibilities

• Use Agile practices to elicit and refine requirements with BI teams and IT partners.
• Develop, configure, and manage integration tools, databases, warehouses and analytics systems.
• Design and deploy ETL/ELT pipelines from databases, APIs, and files.
• Build data storage models and dimensional schemas on multiple platforms.
• Coordinate security, monitoring, and development tooling with responsible teams.
• Provide operational support and incident management for data pipelines.
• Document processes, procedures, and technical designs accurately.
• Coach junior data and BI personnel across the company on technical skills.

Skills

Data engineering

SQL

Python

ETL/ELT

Azure

Azure Data Factory

Azure Synapse

Cosmos DB

CI/CD

DevOps

Kafka

Spark

APIs

NoSQL

Education

Bachelor's degree in Computer Science or Information Technology

Tools

Microsoft SQL Server

Oracle

NoSQL databases

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