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Senior Financial Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

OR ยท On-site +1

$114K - $137K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, or related field. * 8+ years of overall IT experience with a focus on data engineering; banking or financial ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$40 - $45/hr

Data Engineer ( Data Bricks) * Location: Oregon, Beaverton (Hybrid * 6+ years of IT experience with 5+ years in Data Engineering. * Mandatory hands-on experience in Databricks (PySpark, Spark SQL ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

Finance Data Platform Specialist

OR ยท On-site +1

$115K - $130K/yr

... financial reporting, attribution, reconciliations, policy administration, and enterprise finance data. * Work closely with Data Engineers and Data Architects to clarify business requirements and ...

Senior Financial Analyst

Hillsboro, OR ยท Hybrid

$100K - $121K/yr

Ability to interpret data, develop recommendations, and implement solutions. * High-level of ... Senior Financial Analyst Classification Specification Minimum Qualifications Education and ...

Senior Data Engineer

OR ยท On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as ...

FP&A Analyst/Manager

OR ยท On-site +1

$85K - $106K/yr

Senior FP&A Analyst/Manager Location: Remote (U.S.) or Hybrid (preferred near key hubs) Reports To ... Help translate complex financial data into clear narratives for non-finance audiences. Cross ...

Senior Financial Analyst, Payments

OR ยท On-site +1

$85K - $106K/yr

We are seeking a Senior Financial Analyst who is business-minded, data-driven, and able to translate large and complex data sets into meaningful information and have the desire to influence BOLD ...

PayLynxs is hiring a Senior Data Integration Engineer to join our team in Portland, Oregon ... Experience working with complex or inconsistent data sources (financial data a plus) Technical ...

Senior Financial Analyst

OR ยท On-site +1

$85K - $106K/yr

... data and emerging agentic AI systems. Through its SaaS-first automation fabric-with AI embedded ... Manage annual budgets and forecasts for R&D departments (e.g., Engineering, Product, Support ...

Data Engineer

OR ยท On-site +1

$114K - $137K/yr

Our borderless, global framework, which enables seamless collaboration The role As a Sr. Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what ...

New

Showing results 21-40

Senior Financial Data Engineer information

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the most commonly searched types of Financial Data Engineer jobs in Oregon?

The most popular types of Financial Data Engineer jobs in Oregon are:

What are popular job titles related to Senior Financial Data Engineer jobs in Oregon?

For Senior Financial Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Financial Data Engineer jobs in Oregon look for?

The top searched job categories for Senior Financial Data Engineer jobs in Oregon are:

Infographic showing various Senior Financial Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Climate First Bank

OR โ€ข On-site, Remote

$114K - $137K/yr

Full-time

Posted 2 days ago

New


Job description

Nowย Hiring:ย Data Engineer

We'reย lookingย forย aย Data Engineerย to lead the design, development, and optimization of enterprise data solutions. This role will be responsible for building robust data pipelines, integrating diverse data sources, and enabling advanced analytics and reporting across the organization. The ideal candidate will have deep expertise in Azure data services, building advanced SQL queries, and modern data engineering practices.

Whatย You'llย Contribute as a Data Engineer

Data Architecture & Integration

  • Design and develop end-to-end data pipelines using Azure Data Factory (ADF), Azure Synapse, Databricks, Logic Apps, etc.
  • Build and optimize ETL/ELT workflows for structured/unstructured data from multiple sources.
  • Implement data models, data lakes, and data warehouses in Azure.
  • Use Azure Databricks for big data transformations & analytics.
  • Optimize SQL queries, stored procedures, & performance tuning in Azure SQL/SQL Server.
  • Integrate streaming & real-time data solutions using Event Hubs, Kafka, or Azure Stream Analytics.
  • Ensure data governance, security, & compliance (RBAC, encryption, monitoring, logging). Implement CI/CD pipelines for data solutions using Azure DevOps, Git, ARM Templates, or Terraform.

Power BI Ownership and Optimization

  • Lead the architecture & administration of Power BI across the enterprise.
  • Design & implement scalable semantic models that unify data from disparate systems.
  • Author complex DAX measures & calculated columns to support dynamic reporting needs.
  • Optimize DAX queries for performance and scalability across large datasets.

Champion Our Mission, Protect What Matters

  • Embody a commitment to environmental, social, and economic justice.
  • Partner with internal resources to ensure adherence & promotion of our commitment to sustainability practices & continued carbon neutrality.
  • Ensure compliance with all banking laws, rules, regulations, & prescribed policies/procedures/practices.
  • Remain vigilant regarding suspicious activity and report to necessary channel(s) when necessary.

ย 

What You'll Leverage in this Role:

Experience & Education

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, or related field.
  • 8+ years of overall IT experience with a focus on data engineering; banking or financial services industry a plus.
  • Strong expertise in Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Azure Data Lake.
  • Hands-on experience with Azure Databricks (PySpark, Python, or Scala); proficiency in Python, Spark, or Scala for data transformations.
  • Strong knowledge of SQL, performance tuning, and query optimization.
  • Experience with big data platforms and distributed systems.

Entrepreneurial Self-Starter Mentality -ย You take charge of your work product and take pride in delivering consistently great and measurable results. You solve problems efficiently, seek operational efficiencies and are an analytical thinker with a strong focus on data-driven decision making. A high-pace and high-expectation environment excites you and you can't wait to push yourself to new professional heights in a company that rewards high performance.

Master Communicator -ย Whether it's in-person, on camera, phone, or chat - you communicate with confidence, precision, and professionalism. You listen deeply and respond thoughtfully and are able to engage efficiently and tactfully with stakeholders at all levels of the organization. Additionally, you masterfully build relationships and develop business with strong influencing and decision-making skills.

Banking & Fintech Acumen- You are highly educated in financial products and services, applicable regulations and laws. You also possess strong overall business acumen and the ability to interpret financial reports and legal documents. Strong knowledge of unique industries and markets in conjunction with a broad knowledge of business banking products and services is required.

Tech-Forward and Analytical Thinkingย - You learn new tools quickly, are excited by innovation and leverage technology to optimize your work product and streamline your creative process.ย 

Commitment to Being a Team Playerย - You lift others up, share ideas, and bring positive energy to everything you do. You know what it takes to operate as a part of a larger team and cherish opportunities to contribute to the big picture. You're dependable, communicate clearly and always happy to lend a hand where needed.

What to expect from your physical environment

  • Remote role within the United States; Eastern Standard Hours.
  • Occasional U.S. travel for company events or leadership sessions.
  • Sustained standing and sitting.
  • Frequent communication (speaking and listening) and use of PC, including typing or sustained attention to monitor.
  • Occasional ย lifting up to 20 lbs.