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Internship Financial Data Engineer Jobs in Portland, OR

Aquent

Lead Data Engineer

Beaverton, OR · On-site

$59.40 - $66/hr

Aug 10, 2026 Data Engineer IV (Senior / Lead Level) Location: Portland, OR (Hybrid - 4 days onsite ... Experience in finance, profitability, or margin-focused analytics * Experience with cloud platforms ...

MDAEdge

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 ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... financial analysis/budgeting, risk analysis, probability and statistics, and electric utility ... Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... financial analysis/budgeting, risk analysis, probability and statistics, and electric utility ... Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting ...

campus4tech

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

... finance partners - This role is priority, and the team will be prioritizing those who can start ASAP - The HM would like suppliers to let potential candidates know of DTL weeks in December so that ...

RXinsider LTD.

Data Architect (Data Platform)

Portland, OR · On-site

$150 - $190/hr

... financial workflows. This role focuses on structuring complex healthcare data from electronic ... Specific Job Skills: * 12+ years of software engineering experience, including hands‑on technical ...

New

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

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All JobsFinancial Data Engineer JobsInternship Financial Data Engineer JobsInternship Financial Data Engineer Jobs in Portland, OR

Internship Financial Data Engineer information

See Portland, OR salary details

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How much do internship financial data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship financial data engineer in Portland, OR is $26.95, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $30.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

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

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.
What are the most commonly searched types of Financial Data Engineer jobs in Portland, OR? The most popular types of Financial Data Engineer jobs in Portland, OR are:
What are popular job titles related to Internship Financial Data Engineer jobs in Portland, OR? For Internship Financial Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Internship Financial Data Engineer jobs in Portland, OR look for? The top searched job categories for Internship Financial Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Internship Financial Data Engineer jobs? Cities near Portland, OR with the most Internship Financial Data Engineer job openings:
Internship Financial Data Engineer jobs near you
Infographic showing various Internship Financial Data Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $56,065 per year, or $27 per hour.

Lead Data Engineer

Aquent

Beaverton, OR • On-site

$59.40 - $66/hr

Temporary

This job post has expired today. Applications are no longer accepted.

Job description

Placement Type:
Temporary
Salary:
$59.40-66 Hourly
up to $66.00/hr
Start Date:
Aug 10, 2026
Data Engineer IV (Senior / Lead Level)
Location: Portland, OR (Hybrid - 4 days onsite, 1 remote)
Type: Contract (with potential extension)
Start: ASAP (urgent need)
About the Role
We're seeking a highly experienced Data Engineer to join a fast-paced, collaborative team focused on building scalable data products and improving business performance. This role sits at the intersection of data engineering, analytics, and product development, supporting critical initiatives that drive profitability and operational efficiency.
You'll work closely with product managers, analysts, and engineering teams to design and deliver modern data solutions at scale.
What You'll Do
  • Design, build, and maintain scalable data pipelines (batch and streaming)
  • Develop and optimize data products and datasets for business and analytics use
  • Translate product requirements and backlog items into technical solutions
  • Contribute to data architecture, frameworks, and best practices
  • Build reusable data utilities, libraries, and frameworks
  • Partner cross-functionally with product, analytics, and business stakeholders
  • Ensure data quality, reliability, and performance through testing and monitoring
  • Troubleshoot issues and perform root cause analysis
  • Support and evolve CI/CD pipelines and automation workflows
  • Contribute to AI/ML data initiatives and enable downstream use cases
Must-Have Qualifications
  • Prior experience working within a large global consumer or retail organization (environment familiarity required)
  • 8-10+ years of experience in data engineering or big data environments
  • Strong programming skills in Python (or Scala)
  • Deep experience with distributed data processing (e.g., Spark)
  • Advanced SQL and data warehousing expertise
  • Hands-on experience with modern data platforms such as Databricks, Snowflake, or equivalents
  • Proven ability to build and scale end-to-end data pipelines
  • Experience supporting or enabling AI/ML or advanced analytics initiatives
  • Strong communication skills and ability to work across technical and non-technical teams
  • Experience working in Agile/Scrum environments
Preferred Qualifications
  • Experience in finance, profitability, or margin-focused analytics
  • Experience with cloud platforms (AWS or equivalent)
  • Familiarity with workflow orchestration tools (e.g., Airflow or similar)
  • Experience with streaming technologies (e.g., Kafka, Kinesis, or equivalents)
  • Exposure to CI/CD, infrastructure as code, and automation tools
  • Experience supporting BI/reporting tools and analytics workflows
  • Knowledge of NoSQL databases
  • Relevant certifications (cloud or data platforms)
What Success Looks Like
  • Delivering high-quality, scalable data solutions that support business decisions
  • Improving data accessibility, performance, and reliability
  • Enabling teams with better tools, cleaner data, and faster insights
  • Driving efficiency and reducing friction across data workflows
    #LI-BC1

Client Description
Global leader in athletic footwear, apparel, and equipment. Our client focuses on innovation, performance, and marketing, partnering with top athletes and teams. The company emphasizes sustainability and digital advancements to enhance the sports experience.

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