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

BCForward

Data Engineer

OR · On-site

$35 - $40/hr

Python for data engineering, scripting, and automation. * Understanding of data quality, metadata management, and data governance. Domain Experience (Highly Desirable): * Retail industry, especially ...

Under Armour, Inc.

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 ...

System One

Technical Data Steward

OR · Remote

$60 - $70/hr

... engineering teams, and stakeholders. Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ...

Under Armour, Inc.

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 ...

Under Armour

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 ...

Kynite

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 ...

Kynite

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 ...

W3Global Inc.

CAD Drafter

Coos Bay, OR

$25 - $35/hr

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

Bausch+Lomb Companies Inc.

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 ...

Bausch + Lomb

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 ...

Orenco Systems

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 ...

Orenco Systems

Controls Engineering Manager

Sutherlin, OR · On-site

$136K - $186K/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 ...

Orenco Systems

Controls Engineering Manager

Sutherlin, OR · On-site

$136K - $186K/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 ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Remote, OR

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 Aug 8, 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?

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 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:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Remote, OR as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $97,049 per year, or $46.7 per hour.

Data Engineer

BCForward

OR • On-site

$35 - $40/hr

Contractor

Posted 9 days ago

Job description

Job Title: Data Engineer

Location: Remote - PST time zone

Duration: Contract - 17 months

Job Description

We are seeking a Data Engineer to join our Supply Chain Data & AI organization. The ideal candidate will have strong experience in building cloud-native data products and pipelines on Google Cloud Platform using BigQuery, Dataproc, SQL, and dbt and a proven ability to deliver scalable, reliable data models and pipelines that power analytics and AI across Sourcing, Transportation, and Warehouse Management.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
  • Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Develop and maintain high-quality data models for reporting, analytics, and AI.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Collaborate with product managers, business analysts, architects, and engineers to deliver scalable data solutions.
  • Create reusable transformation components and follow engineering standards and best practices.
  • Optimize data processing performance, reliability, and cost efficiency.
  • Perform unit testing, data validation, and production support to ensure quality and stability.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
  • Document technical designs, data flows, and implementation details.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
  • 4+ years of experience in data engineering.
  • Hands-on experience delivering data solutions on Google Cloud Platform.
  • Proficiency with Dataproc, BigQuery, SQL, and dbt.
  • Strong knowledge of data modeling, including dimensional modeling and analytical warehousing concepts.
  • Experience building scalable ETL/ELT pipelines and processing large datasets.
  • Familiarity with Git-based version control and CI/CD practices.
  • Analytical, troubleshooting, and problem-solving skills.
  • Effective communication and collaboration abilities.
  • Apache Airflow for workflow orchestration.
  • Apache Kafka or other event streaming platforms.
  • PySpark for distributed data processing.
  • Python for data engineering, scripting, and automation.
  • Understanding of data quality, metadata management, and data governance.

Domain Experience (Highly Desirable):

  • Retail industry, especially apparel.
  • Supply chain data platforms.
  • Transportation and logistics.
  • Warehouse Management Systems (WMS).
  • Distribution center operations.

Company Description

About BCforward:

Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally.

BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work.

BCforward logo

About BCforward

Sourced by ZipRecruiter

BCforward began as an IT business solutions and staffing firm. Founded in 1998, BCforward has grown with our customers' needs into a full service personnel solutions organization. Headquartered in Indianapolis, Indiana, BCforward also operates numerous delivery centers across North America and India. We are currently the largest consulting firm and largest MBE certified firm in Indiana. Our uninterrupted growth has allowed BCforward to deliver uniquely configured IT staffing and project solutions for over years of catering to our customers' specific needs. BCforward currently maintains a team of over 5000 global resources. With our additional brand, Stafforward, together we have the capabilities to deliver services for a variety of industries in both public and private sectors which allows us to address your most challenging needs.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Indianapolis, IN, US

Year founded

1998

Social media

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