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

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The successful candidate will work closely with Finance SMEs, Data Architects, Data Engineers, and BI developers to understand how financial data is created and used across multiple source systems ...

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The successful candidate will work closely with Finance SMEs, Data Architects, Data Engineers, and BI developers to understand how financial data is created and used across multiple source systems ...

New

... data engineer, or BI developer role * 5+ years writing SQL * Experience with Python is a plus * 2+ years working with cloud data warehouses (Snowflake, BigQuery, or Redshift) * 2+ years working in ...

Work with our engineers to manage and improve our ETL pipelines, ensuring clean, timely data flows ... Proficiency with a BI/visualization layer tool such as Looker, Metabase, Mode, or Tableau

Sr Software Engineer

OR Β· Remote

$84K - $112K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Automate, Power BI, and Copilot Studio, and assists users to integrate those solutions with ...

Thorough understanding and experience with data quality and compliance checks * Experience in ... Award-winning time-off plans and bi-annual company-wide shutdowns * Flexible work models, including ...

Senior Lead Architect

OR Β· Remote

$132K - $176K/yr

Bachelor's degree in electrical, optical, or Telecommunication engineering, or 5-7+ years of ... Strong data extraction and analytic skills using tools like SQL and Power BI Preferred ...

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 Sep 14, 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 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.

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 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.

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 job categories do people searching Data Bi Engineer jobs in Remote, OR look for?

The top searched job categories for Data Bi Engineer jobs in Remote, OR 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.

Finance Data & Analytics Business Analyst

OR β€’ Remote

Sara Software Systems
IT ServicesΒ β€’Β 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

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Job description

Position Summary 

We are seeking an experienced Finance Data & Analytics Business Analyst to support a strategic Finance data integration and analytics initiative. This individual will serve as a key liaison between Finance business stakeholders and the Data & Analytics technical team, helping translate complex Finance processes, reporting requirements, business rules, and source-system data into well-defined, governed data products. 

This role goes beyond traditional requirements gathering. The successful candidate will work closely with Finance SMEs, Data Architects, Data Engineers, and BI developers to understand how financial data is created and used across multiple source systems; define source-to-target mappings and business rules; support data validation and reconciliation; and ensure the resulting data products accurately represent Finance requirements. 

The role requires a strong combination of Finance domain knowledge, data analysis, business analysis, and technical understanding. 

Key Responsibilities 

  • Partner closely with Finance SMEs and the internal Business Analyst to discover, document, and prioritize business requirements for Finance data and analytics products. 
  • Facilitate requirements and data-discovery sessions with Accounts Receivable, Credit, Finance Operations, and other Finance stakeholders. 
  • Translate business requirements into clear functional requirements, data requirements, business rules, acceptance criteria, and technical specifications. 
  • Analyze existing Finance reports, spreadsheets, dashboards, calculations, and manual processes to understand current-state logic and identify opportunities for standardization and automation. 
  • Work with Finance SMEs to define and document key financial metrics, calculations, dimensions, hierarchies, and reporting definitions. 
  • Develop and maintain source-to-target mappings, including source tables/columns, target data objects, transformation rules, data types, business definitions, and reconciliation requirements. 
  • Partner with Data Architects and Data Engineers to define target data models and ensure technical implementations accurately represent Finance business requirements. 
  • Perform data analysis and profiling across source systems to identify data-quality issues, inconsistencies, gaps, duplicate records, and mapping challenges. 
  • Play a key role in financial data validation and reconciliation, working with Finance and Engineering teams to ensure data in the target platform reconciles with source systems and approved Finance reports. 
  • Define data-quality rules and expected validation controls for critical Finance data elements. 
  • Document data lineage and business definitions to improve traceability, governance, and auditability. 
  • Support functional testing, system integration testing, and UAT by developing test scenarios, expected results, reconciliation criteria, and defect documentation. 
  • Coordinate with Finance SMEs to obtain business validation and formal sign-off on data products, reports, dashboards, and KPIs. 
  • Work with Power BI and Databricks AI/BI capabilities to help translate business requirements into dashboards, semantic models, self-service analytics, and other data products. 
  • Use approved AI productivity tools, such as Microsoft Copilot, to accelerate requirements documentation, data mapping, test-case development, meeting summaries, and other project artifacts while maintaining appropriate review and governance. 

Required Qualifications 

  • 5+ years of Business Analysis, Data Analysis, or Finance Analytics experience, preferably supporting enterprise data integration, data warehouse, lakehouse, or BI initiatives. 
  • Demonstrated experience working with Finance data, preferably Accounts Receivable, Credit, Collections, Customer Master, cash application, or related financial processes. 
  • Strong experience translating Finance business requirements into data requirements and source-to-target mappings. 
  • Experience analyzing data across multiple ERP or financial systems and reconciling information between source systems and reporting platforms. 
  • Strong understanding of data concepts including dimensions, measures, hierarchies, business rules, data quality, lineage, and reconciliation. 
  • Experience working with enterprise ERP platforms such as Oracle E-Business Suite Financials, SAP, or similar financial systems; Oracle EBS experience strongly preferred. 
  • Experience with reporting and analytics platforms such as Power BI, Databricks AI/BI Dashboards, Tableau, or similar tools. 
  • Strong SQL skills with the ability to independently query and analyze data for requirements validation, profiling, reconciliation, and testing. 
  • Experience supporting functional testing and UAT for data and analytics solutions. 
  • Excellent communication skills with the ability to work effectively with both Finance executives/SMEs and highly technical engineering teams. 
  • Strong documentation skills and attention to detail, particularly when documenting financial calculations, mappings, business rules, and reconciliation logic. 

Preferred Qualifications 

  • Experience with Accounts Receivable data, including aging, invoices, payments, credit limits, customer exposure, unapplied cash, collections, and related KPIs. 
  • Experience with Oracle EBS AR and customer-related data structures. 
  • Experience supporting cloud data platforms or lakehouse implementations, preferably Databricks. 
  • Familiarity with medallion/layered data architectures and enterprise data modeling. 
  • Experience establishing data dictionaries, business glossaries, mapping documents, and data-quality rules. 
  • Familiarity with AI-assisted development/productivity tools such as Microsoft Copilot. 
  • Experience working in Agile data and analytics delivery environments. 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.