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Weekday Financial Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

OR · Remote

$120K - $150K/yr

You will work closely with Data Insights Managers, Finance, Revenue Operations, and Product to ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... financial results. Minimum Qualifications • 5+ years working as data engineer / database developer (Hadoop, cloud experience preferred) • 5+ years of experience in data warehousing / big data ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

This requires curating data across various domains such as Growth, Finance, Product, Content, and ... Data Engineering at Netflix is a role that requires building systems to process data efficiently ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

Integrate complex financial APIs and third-party data sources into internal systems * Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products * Work on ...

OR

$105K - $143K/yr

The Motley Fool is a purpose-driven financial services company on a mission to make the world ... We are seeking a Senior Data Engineer to design, build, and take full ownership of the data ...

Data Engineer

Portland, OR · On-site

$150K - $165K/yr

Build and maintain data pipelines powering operational reporting for scheduling, finance ... data engineering experience in a production environment * Strong SQL skills: complex stored ...

OR · On-site

$105K - $143K/yr

Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure ... As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake ...

$105K - $143K/yr

The Senior Data Engineer is the lead delivery role for structured data engineering in Databricks ... Design and build scalable data models for SAP, manufacturing, finance, sales, supply chain, and ...

$114K - $137K/yr

Partner with Data Engineering and BI teams to ensure forecast outputs, KPIs, business logic, and AI ... Translate forecasting and AI outputs into measurable operational or financial impact, including ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... financial-services environment. * Experience preparing clean, analytics- and ML-ready datasets to ...

OR

$105K - $143K/yr

We're a small, highly collaborative team embedded within the HI Tech organization, working closely with Analysts, Finance, Product, and engineering teams to ensure that the data people rely on is ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

Partner with IT and data engineering teams to improve data infrastructure, data quality, and governance for financial analytics. * Support the adoption of data-driven decision-making across Finance ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ... Design, build, and maintain scalable data models from our data lake that power financial ...

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Responsibilities : • Work with a team of approximately 10-12 professionals, including principal engineers, domain partners, and finance analysts. • Navigate multiple data sources and trace back ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

Upstart's Verifications Decisioning Engineering team builds the backend platform that powers ... You'll work on distributed systems that integrate third-party financial data providers, machine ...

Build and refine segmentation and clustering models in BigQuery ML, including feature engineering ... and financial checks. Attention job applicants: Please note that in compliance with the data ...

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Showing results 1-20

Weekday Financial Data Engineer information

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What cities in Oregon are hiring for Weekday Financial Data Engineer jobs? Cities in Oregon with the most Weekday Financial Data Engineer job openings:
Data Engineer

$120K - $150K/yr

Other

Posted 5 days ago


Job description

Who we're looking for 

Fieldwire is seeking a skilled Data Engineer to join our growing Data & Operations team. You will be the owner of our data infrastructure and pipelines - the foundational layer that powers all reporting, analytics, and business decision-making across Fieldwire. You will work closely with Data Insights Managers, Finance, Revenue Operations, and Product to ensure our data lake is reliable, scalable, and production-ready. This is a fully remote role based in the United States. 

What you'll be doing 

The primary responsibilities for this role include: 

  • Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses 
  • Own the end-to-end data architecture, including storage strategy, processing systems, and pipeline orchestration 
  • Implement and maintain ETL/ELT workflows that extract, transform, and load data into clean, analytics-ready formats 
  • Partner with Data Insights Managers and business stakeholders to translate reporting requirements into robust technical data solutions 
  • Build automated validation and quality-check layers into every pipeline to prevent bad data from reaching reporting layers 
  • Monitor pipeline health in real time; triage and resolve failures quickly to meet data availability SLAs 
  • Enforce data standards, naming conventions, schema consistency, and access controls across all systems 
  • Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse into the data lake 
  • Maintain auditability of all data flows and support compliance and governance requirements 
  • Collaborate with the DIM TL and Director of Operations on the data roadmap and architectural decisions 

At Fieldwire, we're looking for our next Data Engineer to have the following skills and experiences 

Core qualifications and experience: 

  • 2-3+ years of experience in a Data Engineering or equivalent role 
  • Strong proficiency in SQL and at least one scripting language (Python preferred) 
  • Hands-on experience building and maintaining ETL/ELT pipelines at scale 
  • Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) 
  • Familiarity with pipeline orchestration tools (e.g. Airflow, dbt, Fivetran, Airbyte) 
  • Strong understanding of data warehousing concepts, dimensional modelling, and data lake architecture 
  • Experience integrating SaaS platforms (CRM, ERP, finance systems) via APIs and connectors 
  • Excellent problem-solving skills with a rigorous approach to data quality and reliability 
  • Ability to work independently in a fully remote, fast-moving environment 
  • Strong written communication skills - able to document technical decisions clearly for non-technical stakeholders 

And if you have any of the following, we REALLY want you to apply today! 

  • Experience at a SaaS or technology company  
  • Familiarity with Salesforce data structures and reporting layers  
  • Exposure to BI tools (Power BI, Looker, Tableau) and understanding of how downstream consumers use data  
  • Experience with real-time or streaming data pipelines  
  • Knowledge of data governance frameworks and access control models  
  • Prior experience supporting a GTM or Finance data stack 

Compensation: 

The estimated pay ranges for this role are as follows: $120,000 - $150,000 

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. In addition to the salary you may be eligible for a corporate bonus which can range up to 30%. 

Why Fieldwire? 

The field-first construction platform for less busywork and more building. Trusted on 4M+ projects worldwide, Fieldwire by Hilti gives crews reliable access to plans, tasks, and updates on one simple platform. It unites the field and office around a single, transparent source of truth, keeping teams aligned from start to finish. Designed for easy adoption, crews gain real-time visibility into progress, clear ownership of work, and the context to make confident decisions. As part of the Hilti Group, Fieldwire combines deep construction expertise with modern digital innovation to deliver better outcomes on every job. Learn more at Fieldwire.com.  

Where is the job located? 

This role is fully remote within the United States. Our headquarters are based in beautiful San Francisco and our office is centrally located right off of Embarcadero Bart station. 

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Fieldwire is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status or any other characteristic protected by law.