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Senior Data Engineering Jobs in Portland, OR (NOW HIRING)

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Work with engineering squads to create physical data designs and business rule implementation

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

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Senior Data Engineering information

See Portland, OR salary details

$17

$60

$86

How much do senior data engineering jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for senior data engineering in Portland, OR is $60.25, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $71.39 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Portland, OR? The most popular types of Data Engineering jobs in Portland, OR are:
What job categories do people searching Senior Data Engineering jobs in Portland, OR look for? The top searched job categories for Senior Data Engineering jobs in Portland, OR are:
What cities near Portland, OR are hiring for Senior Data Engineering jobs? Cities near Portland, OR with the most Senior Data Engineering job openings:
Infographic showing various Senior Data Engineering job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,320 per year, or $60.2 per hour.

Sr. Data Operations Engineer

Concora Credit Inc.

Beaverton, OR

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Sr. Data Operations 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 Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data Operations, including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they run consistently and efficiently across Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers to deliver accurate, timely datasets and reports that align with business needs. You'll also provide operational support for Fivetran, MOVEit Automation, GoAnywhere, and enterprise file movement processes.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Sr. Data Operations Engineer, you will:

  • Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures, and performance bottlenecks.
  • Proactively monitor platform health, performance, and SLAs using Databricks monitoring, logging, and alerting, to minimize downtime and data issues.
  • Perform root cause analysis and implement long-term fixes that prevent recurring issues and improve overall operational reliability.
  • Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning.
  • Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.
  • Provide operational support for MOVEit Automation, GoAnywhere, and secure file transfer processes.
  • Operate and support Fivetran for data ingestion, ensuring connector health, sync reliability.
  • Manage Tokenization processes to ensure secure handling of sensitive data, including tokenization, detokenization, and compliance with PCI.
  • Audit PCI controls regularly to maintain compliance.
  • Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.
  • Provide after-hours support for critical systems and applications.
  • Develop and maintain documentation, runbooks, and operational standards.

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 5-7 years of experience in Data Operations, ML Operations, or Data Engineering roles.
  • Extensive hands-on experience with Azure Databricks with Unity Catalog, ADF, ADLS
  • Strong experience in SQL, Python, and PySpark
  • Experience working in regulated environments (Finance etc.)
  • Familiarity with secure file transfer tools.
  • Experience with monitoring tools (Azure Monitor, Log Analytics, etc.)
  • Solid understanding of data warehousing, ETL/ELT, and data modeling best practices.
  • Experience with version control and CI/CD pipelines (Azure DevOps, GitHub, etc.)
  • Knowledge of RBAC, data security, and governance in cloud environments.
  • Knowledge of Spark performance tuning, partitioning, and job orchestration.
  • Bachelor's or Master's degree (or equivalent) in Computer Science or related field.

Soft Skills:

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to work independently in a fast-paced, agile environment.
  • Passion for delivering clean, high-quality, and maintainable code.

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

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