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Data Engineer Data Jobs in Portland, OR (NOW HIRING)

Headlight

Data Engineer

Portland, OR · On-site

$150K - $165K/yr

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 ...

Headlight

Data Engineer

Portland, OR

$121K - $145K/yr

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 ...

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Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a ...

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Financial Data ...

CFS

Data & Platform Engineer

Beaverton, OR · Hybrid

$119K - $143K/yr

Data & Platform Engineer Location: Beaverton, OR (Hybrid - 1 Remote Day Per Week After Onboarding) Comp Range: $100,000-120,000 DOE A growing organization is seeking a Data Engineer - Power Platform ...

IT Labs

Lead Data Engineer

Portland, OR · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross ...

Pwc

Data Engineer - Manager

Portland, OR

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Manager

Portland, OR

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

BizTek People

Senior Big Data Engineer

Portland, OR · On-site

$59 - $78.25/hr

Sr. Big Data Engineer Overview: As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force for building solutions for Digital. You will be working on ...

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Showing results 1-20

All JobsData Engineer Data JobsData Engineer Data Jobs in Portland, OR

Data Engineer Data information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data engineer data jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data engineer data in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

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

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Portland, OR? For Data Engineer Data jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Portland, OR look for? The top searched job categories for Data Engineer Data jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Engineer Data jobs? Cities near Portland, OR with the most Data Engineer Data job openings:
Data Engineer Data 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.
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