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

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Develop and maintain code enhancements, automation scripts that support both data engineering and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1. Data engineers build and maintain systems that collect, manage, and transform data into usable information. They work with large ...

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in ...

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

Showing results 21-40

Manager Data Engineering information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do manager data engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager data engineering in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 are popular job titles related to Manager Data Engineering jobs in Portland, OR? For Manager Data Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Portland, OR look for? The top searched job categories for Manager Data Engineering jobs in Portland, OR are:
What cities near Portland, OR are hiring for Manager Data Engineering jobs? Cities near Portland, OR with the most Manager Data Engineering job openings:

Sr. Data Operations Engineer

Concora Credit Inc.

Beaverton, OR

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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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