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Internship Financial Data Engineer Jobs in Remote, OR

Internal Audit Intern - Accounting & Finance

OR · On-site

$16.75 - $21.75/hr

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering ... Analyze financial data to identify trends, anomalies, and potential risk areas * Document business ...

Internal Audit Intern - Accounting & Finance

OR · On-site +1

$16.75 - $21.75/hr

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering ... Analyze financial data to identify trends, anomalies, and potential risk areas * Document business ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence ... and financial acumen. All qualified applicants will receive consideration for employment without ...

AI Agent ML Engineer

OR

$165K - $190K/yr

Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence ... and financial acumen. All qualified applicants will receive consideration for employment without ...

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

Collaborate with Product Managers, Engineering, Finance, and Sales to align data definitions and reporting logic, ensuring transparency and trust in shared dashboards and executive summaries. Design ...

... and data-intensive applications. By combining open source innovation with deep expertise in ... valued; - Internship provides you with the opportunity to combine work and education ...

... and data-intensive applications. By combining open source innovation with deep expertise in ... valued; - Internship provides you with the opportunity to combine work and education ...

Senior Planning Engineer

OR · Remote

$84.63K - $112.84K/yr

... data centers, and colocation activities * Experience in an engineering role that included a substantial business/financial focus Compensation This information reflects the anticipated base salary ...

Senior Lead IT Engineer

OR · On-site +1

$132.23K - $176.31K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... financial wellbeing. We're able to answer any additional questions you may have about our bonus ...

Network Engineer II

OR · Remote

$67.70K - $90.27K/yr

We are igniting business growth by connecting people, data and applications - quickly, securely ... financial wellbeing. We're able to answer any additional questions you may have about our bonus ...

Senior Lead Cloud Engineer

OR · Remote

$132.23K - $176.31K/yr

By connecting people, data, and applications quickly, securely, and effortlessly, we help ... financial wellbeing. We're able to answer any additional questions you may have about our bonus ...

Adobe CDP Engineer

OR · Remote

$105.79K - $141.05K/yr

By connecting people, data, and applications quickly, securely, and effortlessly, we help ... financial wellbeing. We're able to answer any additional questions you may have about our bonus ...

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Showing results 1-20

Internship Financial Data Engineer information

See Remote, OR salary details

$13

$25

$38

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

As of May 30, 2026, the average hourly pay for internship financial data engineer in Remote, OR is $25.39, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Financial Data Engineer, and why are they important?

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 types of projects and responsibilities can an Internship Financial Data Engineer expect during their internship?

As an Internship Financial Data Engineer, you can expect to work on projects involving data extraction, transformation, and loading (ETL) processes related to financial datasets. You may assist in developing pipelines to clean and aggregate data from multiple sources, contribute to building data models, and support the analytics team with data validation. Regular collaboration with data scientists, senior engineers, and financial analysts is common, providing valuable exposure to both technical and business aspects of finance. This hands-on experience not only strengthens your programming and data skills but also helps you understand how data drives decision-making in financial organizations.

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 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 job categories do people searching Internship Financial Data Engineer jobs in Remote, OR look for? The top searched job categories for Internship Financial Data Engineer jobs in Remote, OR are:

Senior Data Engineer - Lakehouse (Remote) with Security Clearance

ASRC Federal

Myrtle Point, OR • On-site, Remote

$99.40K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


ASRC Federal rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

192nd of 350 rated engineering


Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™ ASRC Federal Technology Solutions is seeking a Busines s Intelligence Data Engineer - Lakehouse / ML / AI to support enterprise data modernization efforts for the Defense Contract Audit Agency (DCAA).

This role is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, reporting, and machine learning capabilities. The ideal candidate will have experience working with Lakehouse architectures, cloud-based data platforms, and integrating AI/ML solutions into busines s intelligence environments. Key Responsibilities: * Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting structured and unstructured data * Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar platforms) * Integrate data from multiple sources including enterprise systems, cloud platforms, and external data feeds * Develop and optimize data models to support busines s intelligence, analytics, and reporting requirements * Collaborate with data scientists and analysts to enable machine learning and AI-driven insights * Support the deployment and operationalization of ML models within production data environments * Ensure data quality, integrity, governance, and compliance with DoD and federal data standards * Develop dashboards and reporting solutions using BI tools (e.g., Power BI, Tableau) * Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or similar) * Document data architecture, workflows, and technical solutions Minimum Qualifications: * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.

Equivalent combination of education and experience will be considered. * 5+ years of experience in data engineering, busines s intelligence, or related field * Active Secret Clearance Required * Experience with data lake or Lakehouse architectures * Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) * Experience with cloud platforms (AWS, Azure, or Google Cloud) * Familiarity with ETL/ELT tools and big data technologies (e.g., Spark, Hadoop) * Experience supporting BI tools such as Power BI, Tableau, or similar * Understanding of data governance, security, and compliance requirements Preferred Qualifications: * Experience with Databricks, Snowflake, or Delta Lake * Experience integrating or supporting machine learning models in production environments * Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) * Familiarity with DevSecOps and CI/CD pipelines for data solutions * Experience supporting federal or DoD environments * Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Why ASRC? As a wholly owned subsidiary of Arctic Slope Regional Corporation, an Alaska Native Corporation, we are inspired by the Iñupiat culture.

We embrace stewardship and the idea of using every resource effectively; teamwork when striving to achieve goals and building a collaborative environment; integrity in adhering to high moral principles and professional standards; respect in welcoming and regarding the differing opinions, experiences, rights and traditions of others; accountability in that we meet our commitments and take responsibility for our results; and continuous improvement, always striving to make things better, raising the bar and staying humble. Advantages of Working at ASRC Federal: * Purpose-Driven Careers: Join a company recognized as a: * Certified Great Place to Work * Military Times' Best for Vets Employer * Military.com's Top 25 Veteran Employer * Comprehensive Benefits: * Insurance Coverage: Comprehensive plans for medical, dental, vision, life insurance, and short-term/long-term disability * Paid Leave: Inclusive policies for bereavement, military obligations, and parental needs, along with 11 paid holidays annually * Retirement Savings: A 401(k) plan with a generous company match and immediate vesting to help secure your financial future * Incentives: Employee referral bonuses to reward you for helping grow the ASRC Federal Family * Learning and Development: * After 90 days of employment, regular full-time employees are eligible for our professional development program. This includes annual funding for: * Pursuing Associate's, Bachelor's, or Graduate Degrees * Obtaining industry-standard professional certifications * Participating in professional certificate programs * Covering registration fees for professional conferences * Centers of Excellence: We established the Centers of Excellence to build, leverage and grow our technological capabilities, best practices and offer professional development for our technical teams.

They contain many Communities of Practice which are forums that offer a platform to share ideas, best practices, innovations, and to collaborate with technical peers. Embark on a career with ASRC Federal, where your growth, purpose, and well-being are at the forefront of what we do! Data Management: Applications will be reviewed in intervals.

The first 15 candidates will be considered, followed by subsequent groups of 15. We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.

The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers.

All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.


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