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

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Own CI/CD deployment pipelines and release management processes. * Drive engineering best practices ...

Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Provide technical support related to data structures, data models and meta data management to relevant stakeholders * Creates data models, providing the right format and structure for the use case ...

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

AWS Data Engineer Snowflake

OR · On-site

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

AWS Data Engineer Snowflake

OR

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Partner with UA managers to analyze campaign data, identify growth drivers, and highlight ... Engineering, Data, and Game teams * Familiarity with big data tools and cloud computing platforms ...

AI Agent ML Engineer

OR

$165K - $190K/yr

Lead Agile AI Operations, including backlog management, sprint planning, cross-functional ... Agent orchestration, ML model development, Data engineering, API integration, Process engineering ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Lead Agile AI Operations, including backlog management, sprint planning, cross-functional ... Agent orchestration, ML model development, Data engineering, API integration, Process engineering ...

... data, engineering plans, and project requirements • Coordinate with engineers and project teams to ensure accurate project deliverables • Manage multiple drafting assignments and meet project ...

Partner with Technology and Engineering teams to align governance practices with enterprise data ... Familiarity with data quality, metadata management, lineage, and governance tooling. * Ability to ...

Controls Engineering Manager

Sutherlin, OR

$82K - $106K/yr

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

Product Manager

Myrtle Point, OR · Remote

$125K - $145K/yr

As the steward of our data, the Product Manager leads the full product lifecycle, from discovery ... Proficiency with Agile methodologies and product management tools (Azure DevOps, Confluence, or ...

Product Manager

OR · On-site +1

$125K - $145K/yr

As the steward of our data, the Product Manager leads the full product lifecycle, from discovery ... Proficiency with Agile methodologies and product management tools (Azure DevOps, Confluence, or ...

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Showing results 1-20

Manager Data Engineering information

See Remote, OR salary details

$31K

$97K

$171.8K

How much do manager data engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for manager data engineering in Remote, OR is $97,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,400.00 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, and why are they important?

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 Manager Data Engineering roles and responsibilities?

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 of 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 popular job titles related to Manager Data Engineering jobs in Remote, OR? For Manager Data Engineering jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Remote, OR look for? The top searched job categories for Manager Data Engineering jobs in Remote, OR are:
Infographic showing various Manager Data Engineering job openings in Remote, OR as of June 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $97,049 per year, or $46.7 per hour.
Senior Director of Data Engineering and Transformation

Senior Director of Data Engineering and Transformation

Lumen Technologies

OR • Remote

$99K - $135K/yr

Other

Medical, Life

Posted 23 days ago


Lumen Technologies rating

8.6

Company rating: 8.6 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

4th of 79 rated telecommunications companies


Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

The Role
We are seeking an experienced, hands-on Senior Director of Data Engineering & Transformation to lead the modernization, execution, and optimization of enterprise data platforms, architectures, and engineering capabilities across Lumen. This leader will drive scalable data products, modern pipelines, integration frameworks, and AI-ready data structures that enable analytics, artificial intelligence, business decision-making, and increased automation. In this role, the Senior Director will shape the company's data landscape by modernizing platforms, improving engineering practices, and accelerating the organization's ability to use data as a strategic asset. The position also focuses on making Lumen data more accessible and consumable for business users, enterprise applications, and AI agents to improve productivity and unlock greater business value, while ensuring data governance requirements such as quality, security, lineage, access controls, metadata, and compliance are embedded into technical solutions and architecture practices.
Location

This is a remote opportunity open to candidates located anywhere in the U.S.

The Main Responsibilities
  • Transform enterprise data infrastructure by modernizing data platforms, architectures, pipelines, and engineering practices.
  • Make data more available and consumable for business users, enterprise applications, analytics platforms, and artificial intelligence.
  • Design scalable enterprise data architectures that support analytics, AI, automation, reporting, and operational use cases.
  • Lead data pipeline development and optimization, including ETL/ELT, ingestion, transformation, orchestration, monitoring, testing, and production support.
  • Drive data platform modernization across cloud, lakehouse, integration, storage, analytics, and AI-enablement capabilities.
  • Deliver reusable data products and solutions, including APIs, semantic layers, governed access patterns, analytical datasets, and AI-ready data structures.
  • Enable AI-ready data architecture for machine learning, intelligent applications, AI agents, advanced analytics, and automation workflows.
  • Lead complex transformation initiatives from strategy through execution, including roadmaps, milestones, dependencies, risks, and measurable business outcomes.
  • Embed governance into technical delivery, including data quality, security, lineage, metadata, access controls, compliance, and responsible data use.
  • Lead and mentor technical teams across data architecture, data engineering, platform engineering, and technical delivery while fostering excellence, accountability, and innovation.
What We Look For in a Candidate
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. Advanced degree preferred.
  • 15+ years of experience in data engineering, data architecture, enterprise data platforms, data integration, data transformation, or related technical disciplines.
  • Strong experience designing and implementing large-scale data architectures, modern data platforms, enterprise data pipelines, and data engineering solutions.
  • Deep knowledge of ETL/ELT pipelines, data ingestion, data transformation, data modeling, data warehousing, lakehouse architectures, cloud data platforms, and distributed data systems.
  • Experience structuring data for analytics, reporting, AI, machine learning, business intelligence, intelligent applications, and automation use cases, including applied AI for data and AI-agent consumption patterns.
  • Experience structuring data for analytics, reporting, AI, machine learning, and business intelligence use cases.
  • Strong understanding of data quality, security, metadata, lineage, access management, and governance requirements as part of technical delivery.
  • Proven ability to lead technical teams and manage complex data engineering, architecture, and transformation programs.
  • Strong communication skills with the ability to translate technical concepts into executive-level presentations, transformation roadmaps, and business-facing recommendations.
  • Experience evaluating, selecting, and implementing data technologies, platforms, and engineering frameworks.
Preferred Skills
  • Experience with data analytics, business intelligence, applied AI for data, AI agents, automation enablement, and machine learning enablement platforms.
  • Experience with data analytics, business intelligence, AI, and machine learning enablement platforms.
  • Familiarity with cloud-based data platforms and services such as Azure, AWS, Google Cloud, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
  • Experience with data mesh, lakehouse architecture, domain-oriented data products, metadata management, feature stores, vector databases, or AI-ready data platform design.
  • Experience with DevOps, DataOps, CI/CD, orchestration, monitoring, testing automation, and production support for data platforms and pipelines.
  • Certification in cloud architecture, data engineering, data architecture, or data management preferred.
Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$174,876 - $233,168 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY 
$183,621 - $244,827 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI 
$192,364 - $256,486 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA 
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.   Learn more about Lumen's: Benefits Bonus Structure

Requisition #: 342368

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.


What Lumen Technologies employees say

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About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

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