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Data Bi Engineer Jobs in Remote, OR (NOW HIRING)

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Technical Data Steward

OR · Remote

$60 - $70/hr

Partner with: o Business Data Stewards o Data Owners o Data Engineering / IT teams * Translate ... Cloud data platforms (Azure Data Lake, Power BI) * Data warehousing concepts (Azure) * Data ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

What We Look For in a Candidate 3-5 years of experience in data science, data engineering ... BI or similar visualization tools Exposure to financial data, FP&A, or enterprise reporting ...

Work closely with project teams, enterprise developers, systems analysts, data scientists, and ... Proficiency in BI and reporting tools such as Tableau and Power BI, along with SQL; experience with ...

Senior Lead Cloud Engineer

OR · Remote

$132K - $176K/yr

Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau) * Familiarity ... Experience in DevOps or Cloud Engineering roles. * May travel for 1-2 times/year for workshops ...

Validate baselines using operational data and direct observation * Identify root causes of chronic ... Work alongside operators, engineers, and supervisors to implement and stabilize solutions * Support ...

Product Manager

Myrtle Point, OR · Remote

$125K - $145K/yr

Proficiency with Agile methodologies and product management tools (Azure DevOps, Confluence, or ... Hands-on experience with data reporting platforms and visualization tools (Power BI, Tableau) or ...

Product Manager

OR · On-site +1

$125K - $145K/yr

Proficiency with Agile methodologies and product management tools (Azure DevOps, Confluence, or ... Hands-on experience with data reporting platforms and visualization tools (Power BI, Tableau) or ...

Data Bi Engineer information

See Remote, OR salary details

$44.5K

$129.6K

$177.3K

How much do data bi engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data bi engineer in Remote, OR is $129,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in Remote, OR? For Data Bi Engineer jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Data Bi Engineer jobs? Cities near Remote, OR with the most Data Bi Engineer job openings:
Infographic showing various Data Bi Engineer job openings in Remote, OR as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.

Technical Data Steward

System One

OR • Remote

$60 - $70/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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Job description

System One is hiring for a Technical Data Steward If this role interests you, please respond and I will reach out to you!

Job Title: Technical Data Steward
Location: Remote
Pay Rate: Open to Both C2C and W2 options 
Position Type: Multiyear Contract
The Technical Data Steward is responsible for the technical data management,
governance, integrity and quality of Human Resources data assets for the HR Data
Warehouse (Azure) and its platforms. This role ensures that data is properly defined,
secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, 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 ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives.
Responsibilities
1. Data Governance & Standards
• Implement and enforce enterprise data governance policies, standards, and
procedures
• Ensure execution of governance workstreams, including:
o Metadata management
o Enterprise quality controls
o AI ready metadata
o Data quality
o Data lifecycle management
o Policies and standards compliance
• Monitor adherence to technical data standards and drive compliance across the
business area
2. Data Management & Technical Oversight
• Own technical data decisions on behalf of the Business Data Owner
• Provide subject matter expertise on:
o Source systems
o Data stores and warehouses
o ETL processes and pipelines
o Business intelligence tools
• Ensure proper implementation of data across systems and platforms
3. Metadata, Lineage & Cataloging
• Build and maintain a data catalog, including metadata and business glossary
• Ensure data definitions, rules, and standards are clearly documented and
consistently applied
• Capture and maintain data lineage (end-to-end technical flows)
4. Data Quality & Issue Resolution
• Drive root cause analysis of data quality issues and coordinate resolution with
Enterprise data and HR Analytics teams
• Assist in design and implementation data quality audits, controls, and monitoring
tools
• Plan and lead data cleansing and remediation initiatives
5. Security & Risk Management
• Partner with Information Security, HR Data Governance and HR Data teams to
implement controls such as:
o Role-based access (RBAC)
o Persona based access
o Row level access
o Encryption and data protection standards
• Ensure data confidentiality, integrity, and availability across platforms
6. Stakeholder Collaboration
• Partner with:
o Business Data Stewards
o Data Owners
o Data Engineering / IT teams
• Translate business requirements into technical data solutions
• Communicate impacts of data decisions across stakeholder groups
Qualifications and Skill Requirements
• Ability to work seamlessly and professionally across multiple business units and
with all levels of the organization
• Oracle HCM / PeopleSoft data experience
• Cloud data platforms (Azure Data Lake, Power BI)
• Data warehousing concepts (Azure)
• Data integration / ETL processes (SQL Server, DataBricks, Azure)
• Data quality and data lifecycle management
• Enterprise platforms (e.g., data catalogs, BI tools, integration tools)
• Data governance frameworks and best practices
• Metadata management, lineage, and cataloging
• Master data management (MDM)
• Experience implementing data governance capabilities across an organization
Desired Skills
• Strong analytical and problem-solving skills
• Ability to translate complex technical concepts for non-technical stakeholders
• Attention to detail and commitment to data accuracy
• Effective cross-functional communication and collaboration
• Oracle HCM / PeopleSoft data experience
• Cloud data platforms (Azure Data Lake, Power BI)
• Regulatory and HR reporting alignment

Company Description

System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.