ZipRecruiter

Log In

1

Azure Data Engineer Jobs in Oregon (NOW HIRING)

Headlight

Data Engineer

Portland, OR · On-site

$150K - $165K/yr

... data engineering experience in a production environment * Strong SQL skills: complex stored ... Familiarity with Azure Blob Storage or equivalent object storage for ETL staging workflows ...

Headlight

Data Engineer

Portland, OR

$121K - $145K/yr

... data engineering experience in a production environment * Strong SQL skills: complex stored ... Familiarity with Azure Blob Storage or equivalent object storage for ETL staging workflows ...

Apply Early

campus4tech

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

SugarAI

OR · On-site

$114K - $137K/yr

As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving ... At least 2 years on Databricks or the Apache Spark ecosystem across Azure and/or AWS * Proficiency ...

Trilon

... engineering and business stakeholders * Experience building analytics solutions in complex or multi-entity organizations * Familiarity with Azure data platforms or modern data stack tools is a plus

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross ...

next page

Showing results 1-20

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Oregon

Azure Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do azure data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for azure data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
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 Azure Data Engineer jobs in Oregon? For Azure Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Oregon look for? The top searched job categories for Azure Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Azure Data Engineer jobs? Cities in Oregon with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Data Engineer

Data Engineer

Headlight

Portland, OR • On-site

$150K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Join a team that's transforming mental healthcare. Founded by psychiatrists, Headlight is more than a company: it's a movement. A movement that exists on the front lines of the mental health crisis, transforming the way people access care and the way clinicians deliver it. In order to help people in their time of need and ensure that every person who comes to us has options, we are transparent about our capabilities, treatments, and coverage, we champion innovation, and we leverage our rich data to continuously implement better ways of delivering care. Our mission is simple but powerful: Improving lives, one session at a time. 

Our highly skilled and principled clinical team enjoys autonomy and institutional support so they can put their focus where it should be: on improving patient outcomes. Our clinicians want to do more than help individual clients, so they work to affect the system as a whole, elevating standards of care so that their efforts reverberate far beyond what they could do in private practice.

As the most trusted behavioral health partner in the Western U.S., we've established deep relationships that give us unparalleled access, interoperability, and first-priority referrals. This exclusivity, combined with our best-in-class coordinated care and feedback loops, results in superior outcomes and cost savings.

Our services are convenient, accessible, and expert, combining personalized client engagement with advanced technology to enhance, not replace, human connection. Indeed, we hold that human-to-human relationships are indispensable, so from the match to the session to the time between sessions, we provide whole person care so nobody falls through the cracks and there is a brighter path forward for all.
Our Pillars
  • Make things easier.
  • Forge genuine connections.
  • Elevate the standard.
Roles and Responsibilities

  • Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution, and resolve production failures 

  • Build and maintain data pipelines powering operational reporting for scheduling, finance, credentialing, and clinical operations 

  • Integrate data sources into the warehouse - EHR (NextGen), CRM (HubSpot), HR platforms (ADP, Lever), credentialing (Modio), call center (Five9), and other third-party APIs 

  • Optimize high-frequency SQL workloads  

  • Support and extend custom AI agents 

  • Maintain HIPAA compliance across all data handling: enforce access controls, audit logging, and PHI segregation in pipelines and reporting layers 

  • Write and maintain version-controlled code in the GitHub repository 

Required Qualifications

  • 3+ years of data engineering experience in a production environment 

  • Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index optimization, execution plan analysis 

  • Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy, REST API consumption, file handling, scheduling 

  • Hands-on experience data warehouse/ETL workloads 

  • Experience building and maintaining scheduled data pipelines with robust error handling, retry logic, and logging 

  • Ability to debug production failures independently, communicate status clearly, and resolve issues quickly under pressure 

  • Comfort working in a HIPAA-regulated environment and handling PHI with appropriate care and controls 

  • Familiarity with Azure Blob Storage or equivalent object storage for ETL staging workflows 

Preferred Qualifications

  • HubSpot CRM data integration experience (Contacts, Deals, Tickets, Company hierarchy, API rate limit handling) 

  • Healthcare data experience: EHR integrations (NextGen, Epic, or Cerner), credentialing systems, claims data, HIPAA BAA contexts 

  • Experience building or maintaining AI/LLM-powered applications (Claude, OpenAI) in a production context 

  • Familiarity with voice or telephony data pipelines, conversational AI systems, or patient intake automation 

  • Experience with complex provider or resource scheduling systems and the data modeling they require 

  • Exposure to CAC, LTV, or patient funnel analytics in a B2C healthcare or SaaS context 

  • Strong communication skills - this team works directly with clinical ops, finance, and marketing stakeholders 

Benefits

  • W2 role with competitive compensation

  • Medical, Dental and Vision on the first of the month after employment

  • Paid Vacation, Sick, and Holiday time

  • Employee Assistance Program (EAP) provides confidential counseling services, resources, and support to help you navigate personal or professional challenges. 

  • 401(k) plan with company contribution

  • Opportunity to work in a cutting-edge healthcare technology environment

  • Professional development opportunities and training

  • Collaborative and supportive work culture

  • Impactful role contributing to the enhancement of patient care and healthcare processes

$150,000 - $165,000 a year
If you need any accommodations for your interview please email [email protected] prior to scheduling.

Not meeting all the requirements? Research indicates that women, communities of color, and historically underrepresented individuals are often hesitant to apply for jobs unless they meet every qualification. We are committed to cultivating a diverse, inclusive, and genuine workplace. If you're enthusiastic about this position but your previous experience doesn't precisely match every qualification listed, we enthusiastically encourage you to submit your application. You could be the ideal candidate for this role or others!

Headlight is committed to the principles of diversity, equity, and inclusiveness and seeks to create a working environment reflective of this commitment. We seek to provide a diverse clinician base to support the diversity of our clients. Headlight supports and respects diversity of people, culture, and ideas throughout our organization. Headlight thrives to be a welcoming, diverse and discrimination- and harassment-free workplace.

By applying for this position, you consent to receive future communications from Headlight via email or text regarding this application and related employment opportunities. You may opt-out at anytime by contacting us directly.

Job Postings on Indeed and other job boards may post with total compensation (base + bonus). For the exact base salary range please check our website or our job-site
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply