Data Engineer

Qode; Washington (District of Columbia); Hybrid; USD 100,000 - 140,000; Full time

Job summary

Wealth Management is seeking a Data Engineer to design and implement enterprise data assets. You will collaborate with BI and IT teams to deliver scalable pipelines, data models, and integrated analytics solutions.

The role requires strong Azure experience, ETL/ELT expertise, and guidance to junior staff. Hybrid work with a mix of on-site Plano, TX and Camas, WA is offered.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years building data-related solutions and software.
• 5+ years with relational databases and Microsoft Azure.
• 2+ years with Azure IaaS/PaaS and other clouds.
• 2+ years deploying Azure data pipelines using Azure Data Factory, Synapse, Cosmos DB, and CI/CD.
• Deep ETL/ELT expertise with SSIS, Informatica, Kafka, Spark, or MuleSoft.

Responsibilities

• Use Agile practices to elicit and refine requirements with BI and IT teams.
• Develop and manage data integration tools, databases, warehouses, and analytics systems.
• Design and deploy ETL/ELT pipelines from databases, APIs, and data files.
• Create data storage and dimensional models across platforms to meet business needs.
• Coordinate security, monitoring, and DevOps capabilities with related teams.
• Provide operational support for data pipelines and communicate status to stakeholders.
• Document processes and technical designs accurately.
• Mentor junior data and BI staff across the company.

Skills

Python

SQL

Scala

ETL/ELT

Kafka

Spark

MuleSoft

Azure

Azure Data Factory

Azure Synapse

Cosmos DB

GitHub

Azure DevOps

CI/CD

SQL Server

Oracle

NoSQL

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Azure SQL

Azure Data Factory

Azure Synapse

Cosmos DB

GitHub

Azure DevOps

CI/CD

SSIS

Informatica

Kafka

Spark

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