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Data Engineering Jobs in Remote, OR (NOW HIRING)

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Your Impact Data Engineering & Architecture: * Lead data model design, semantic layer definition, and scalable ELT architecture. * Design and deliver advanced data models, automation workflows, and ...

Data Engineer-Kiewit Nuclear Solutions 1

OR · Remote

$107K - $128K/yr

Contribute to enterprise data standards and BI best practices Data Integration and Engineering Collaboration * Work with data engineers to define optimized data contracts * Analyze and troubleshoot ...

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 ...

The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance. * The contractor shall implement sprint ...

The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance. * The contractor shall implement sprint ...

Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering, Data, and Game teams * Familiarity with big data tools and cloud computing ...

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI. * Strong programming skills in Python; experience with ML frameworks (PyTorch ...

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

AI Agent ML Engineer

OR

$165K - $190K/yr

Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI. * Strong programming skills in Python; experience with ML frameworks (PyTorch ...

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

New

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 ...

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Showing results 1-20

Data Engineering information

See Remote, OR salary details

$46K

$164.9K

$243.3K

How much do data engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data engineering in Remote, OR is $164,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $169,800.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are popular job titles related to Data Engineering jobs in Remote, OR? For Data Engineering jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Remote, OR look for? The top searched job categories for Data Engineering jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Engineering jobs? Cities near Remote, OR with the most Data Engineering job openings:
Senior Director of Data Engineering and Transformation

Senior Director of Data Engineering and Transformation

Lumen Technologies

OR • Remote

$99K - $135K/yr

Other

Medical, Life

This job post has expired today. Applications are no longer accepted.


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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