1

Contract Azure Data Engineer Jobs in Oregon (NOW HIRING)

$114K - $137K/yr

The Data Engineer plays a key role in that mission by building and maintaining the data platform ... Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and ...

New

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

OR · On-site

$114K - $137K/yr

This position requires deep technical expertise in Azure data platforms including Fabric and ... Collaborate with engineers, analysts, and business partners to ensure that solutions align with ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

OR

$114K - $137K/yr

This position requires deep technical expertise in Azure data platforms including Fabric and ... Collaborate with engineers, analysts, and business partners to ensure that solutions align with ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows.

OR · On-site

$114K - $137K/yr

About this role As a Principal Data Engineer, you will play a key role in developing our modern ... Build scalable and maintainable ETL/ELT pipelines using tools and frameworks such as Azure Data ...

... 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 ...

... 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 ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or ... Data Engineer role. What's In It For You: * Medical, Dental and Vision insurance for you and your ...

OR

$58.50 - $79.75/hr

DP-203 - Azure Data Engineer Associate * DP-700 - Fabric Data Engineer * Secret Clearance or ... ability to be cleared We may use artificial intelligence (AI) tools to support parts of the hiring ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or ... Data Engineer role. What's In It For You: * Medical, Dental and Vision insurance for you and your ...

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate (DP-203) certifications are highly desirable. * Excellent communication, presentation, and ...

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... Azure • Extensive experience in Spark, Python, PySpark, Scala, SQL/Hive • Familiar with Spark MLlib, SParkSQL • Writing complex SQL statements and performing data discovery • Proven ...

next page

Showing results 1-20

Contract Azure Data Engineer information

What is the difference between Contract Azure Data Engineer vs Contract Data Engineer?

AspectContract Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, cloud certificationsGeneral data engineering certifications, such as Google Cloud or AWS certifications
Work EnvironmentPrimarily cloud-based, Azure platformCloud or on-premises, varies by employer
Industry UsageOrganizations using Microsoft AzureOrganizations using various cloud providers or on-premises data solutions
Search IntentComparing roles focused on Azure cloud data solutionsBroader data engineering roles across platforms

The Contract Azure Data Engineer specializes in building and managing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, the Contract Data Engineer has a broader scope, working across multiple cloud providers or on-premises environments. The Azure-focused role is ideal for those targeting Azure-centric projects, while the general Data Engineer role offers flexibility across different platforms.

What are the key skills and qualifications needed to thrive as a Contract Azure Data Engineer, and why are they important?

To thrive as a Contract Azure Data Engineer, you need strong expertise in data engineering concepts, SQL, ETL processes, and a solid understanding of Azure cloud services, typically supported by a relevant degree or certifications like Microsoft Certified: Azure Data Engineer Associate. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and Power BI is commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills in this role. These skills ensure efficient data pipeline development, seamless integration with cloud systems, and successful project delivery in dynamic contract environments.

What types of projects and team structures can a Contract Azure Data Engineer expect to work with?

As a Contract Azure Data Engineer, you will typically work on projects centered around data migration, data warehousing, or the implementation of cloud-based analytics solutions using Microsoft Azure. You may be embedded within cross-functional teams that include data architects, analysts, and software engineers, often collaborating closely to deliver solutions under tight deadlines. The contract nature of the role means you might be brought in to address specific technical challenges or to accelerate ongoing projects, so adaptability and strong communication skills are highly valued. This role often provides exposure to diverse industries and the opportunity to quickly expand your professional network.

What are Contract Azure Data Engineers?

Contract Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data solutions using Microsoft Azure's cloud services. They specialize in creating data pipelines, integrating various data sources, and ensuring data is stored, processed, and made available efficiently in the Azure environment. These engineers often work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Their role is critical for organizations needing scalable, secure, and reliable data infrastructure in the cloud.
What are the most commonly searched types of Azure Data Engineer jobs in Oregon? The most popular types of Azure Data Engineer jobs in Oregon are:
What are popular job titles related to Contract Azure Data Engineer jobs in Oregon? For Contract Azure Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Contract Azure Data Engineer jobs in Oregon look for? The top searched job categories for Contract Azure Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Contract Azure Data Engineer jobs? Cities in Oregon with the most Contract Azure Data Engineer job openings:
Data Engineer

$114K - $137K/yr

Full-time

Posted 3 days ago

New


Job description

Trilon is building a supercharged, technology-enabled future for our people and partners. The Data Engineer plays a key role in that mission by building and maintaining the data platform that powers Trilon's enterprise analytics, automation, and AI capabilities. 
Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing, and maintaining scalable data integrations and transformations in Azure and Microsoft Fabric. The Data Engineer ensures that Trilon's data platform delivers reliable, high-quality, and well-structured data to support business intelligence, operations, and innovation. 
This role serves as the primary custodian of Trilon's integrated data model and is instrumental in developing a unified, extensible architecture that scales with continued acquisitions. The Data Engineer designs and builds secure Power BI semantic models for consumption by analysts and decision-makers, ensuring consistent and governed access to enterprise data. This role also partners closely with the AI and Innovation vTeam to prepare data for analytics, machine learning, and retrieval-augmented generation (RAG) applications. 
Data Platform Engineering and Maintenance 
  • Serve as the primary owner and technical steward of the Trilon enterprise data platform 
  • Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and Microsoft Fabric 
  • Build and manage data transformations, orchestration, and automation across structured, semi-structured, and unstructured data sources 
  • Ensure scalability, reliability, and performance of the data platform as Trilon continues to grow through acquisition 
  • Implement monitoring and alerting to proactively detect and resolve pipeline or data quality issues 
Data Integration and Modeling 
  • Develop and maintain integrations between Trilon's enterprise systems, cloud services, and acquired partner environments 
  • Design and maintain a unified, scalable data model that harmonizes data across business systems 
  • Build secure, governed, and high-performance Power BI semantic models optimized for analytics and self-service reporting 
  • Collaborate with business analysts and data consumers to ensure data models support enterprise reporting needs and KPIs 
  • Partner with cybersecurity and infrastructure teams to ensure data models and access patterns meet compliance and governance standards 
Data Quality and Governance 
  • Implement validation and quality checks to ensure accuracy, completeness, and timeliness of enterprise data sets 
  • Maintain metadata, lineage, and documentation to promote transparency and reusability 
  • Define and enforce data quality and consistency standards across all integrated sources 
  • Collaborate with the Technology Asset Manager and Service Platform Manager to align system integrations and data governance 
  • Support data cataloging, discovery, and classification initiatives within Microsoft Purview or equivalent tools 
Automation, Optimization, and Resilience 
  • Develop automated frameworks for ingestion, transformation, and validation using Azure-native tools and pipelines 
  • Implement DevOps principles for data workflows including version control, testing, and deployment automation 
  • Optimize pipeline performance, resource utilization, and data freshness 
  • Build resilience and fault tolerance into data operations to ensure reliability and recovery 
  • Create reusable components and templates to streamline integration of new data sources and partner systems 
AI and Innovation Enablement 
  • Collaborate with the AI and Innovation vTeam to prepare and structure data for AI, ML, and RAG-based applications 
  • Develop and maintain data pipelines that support model training, evaluation, and fine-tuning 
  • Curate and transform unstructured data for retrieval, embedding, and vectorization within AI applications 
  • Ensure data readiness for generative AI tools, chat interfaces, and knowledge retrieval systems 
  • Stay informed of emerging AI data engineering trends and Microsoft Fabric AI integrations 
Collaboration and Cross-Domain Partnership 
  • Partner with application and infrastructure teams to ensure reliable and secure data exchange across systems 
  • Collaborate with business stakeholders and analysts to understand reporting needs and deliver usable data models 
  • Support integration engineers in onboarding new firms and ensuring their data aligns with Trilon's enterprise model 
  • Work closely with cybersecurity and compliance teams to enforce data protection, retention, and access policies 
  • Provide documentation, architecture diagrams, and operational standards for the data platform and pipelines 
  • 5 or more years of experience in data engineering, data integration, or data platform development 
  • Strong hands-on experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, and related Azure data services 
  • Proficiency in SQL, DAX, Power Query, and data modeling for Power BI 
  • Experience designing and maintaining Power BI semantic models, datasets, and row-level security configurations 
  • Familiarity with data governance, cataloging, and lineage management in tools like Microsoft Purview 
  • Experience building and optimizing cloud data pipelines with structured, semi-structured, and unstructured data 
  • Understanding of data preparation for AI and machine learning applications, including RAG architectures 
  • Exposure to engineering and geospatial data such as CAD, BIM, and GIS 
  • Strong analytical and problem-solving skills with a focus on scalability and performance 
  • Excellent collaboration and communication skills across technical and business audiences 
  • Bachelor's degree in Computer Science, Data Engineering, or related field preferred 
  • Microsoft certifications such as Azure Data Engineer Associate or Fabric Analytics Engineer Associate are a plus 
  • May require occasional travel to Trilon offices or partner locations for integration or collaboration activities 

Trilon was formed with the vision of building the next Top 20 infrastructure consulting firm in North America by bringing together some of the nation's best infrastructure consulting firms, focused on delivering practical and sustainable infrastructure solutions. Trilon is backed by Alpine Investors, a PeopleFirst Private Equity Firm. Trilon currently comprises 5,500+ staff across the US. For more information, visit www.trilon.com.
Pay Transparency
The base salary range for this role is indicated in the posting. This range reflects the company's good faith estimate of the compensation for this position at the time of posting. Final compensation will be determined based on factors such as experience, skills, qualifications, internal equity, and geographic location.