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Summer Data Engineer Jobs in Portland, OR (NOW HIRING)

David Yurman Enterprises LLC

Data Engineer

Beaverton, OR · On-site

$140 - $150/hr

We are looking for a dynamic Data Engineer to design and build data integration solutions to ... Summer Fridays (corporate roles), generous paid time off, and sick time. Equal Opportunity ...

Workiva

Spring 2027 Intern - Data Analytics

Portland, OR · On-site +1

$22/hr

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded ...

Workiva

Spring 2027 Intern - Data Analytics

Gresham, OR · On-site +1

$22/hr

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded ...

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All JobsSummer Data Engineer JobsSummer Data Engineer Jobs in Portland, OR

Summer Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do summer data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for summer data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is a summer data engineer?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What kinds of projects or tasks does a summer data engineer typically work on during an internship?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

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

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

What are the most commonly searched types of Data Engineer jobs in Portland, OR?

The most popular types of Data Engineer jobs in Portland, OR are:

What are popular job titles related to Summer Data Engineer jobs in Portland, OR?

For Summer Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Summer Data Engineer jobs in Portland, OR look for?

The top searched job categories for Summer Data Engineer jobs in Portland, OR are:

Summer Data Engineer jobs near you
Infographic showing various Summer Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Engineer

David Yurman Enterprises LLC

Beaverton, OR • On-site

$140 - $150/hr

Other

Medical, Retirement, PTO

Posted 4 days ago

Key responsibilities

  • Design and build production‑grade data pipelines using AWS serverless technologies with proper error handling, retry logic, and observability.

  • Connect multiple enterprise systems and build event‑driven data flows using AWS messaging and streaming services.

  • Write infrastructure as code using Terraform, build multi‑environment deployment pipelines, and implement monitoring and alerting for pipeline health and data quality.

David Yurman rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

5th of 30 rated jewelry retailers

Job description

Position Overview

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible for designing and implementing state‑of‑the‑art data and analytics solutions. We are looking for a dynamic Data Engineer to design and build data integration solutions to support DY’s modernization efforts. This is a hybrid position located in New York with the DME team currently in the formation phase.


What You’ll Build

Understand business needs and develop multiple solutions to meet the needs:



  • Serverless data pipelines using AWS Services to move and transform data at scale

  • Event‑driven architectures for decoupled, reliable data flows

  • Real‑time integrations between systems and databases through standardized enterprise integrations frameworks

  • Self‑service analytics solutions that empower business users to access data across multiple source systems

  • CI/CD pipelines using Terraform and GitHub Actions to deploy infrastructure across multiple environments


Responsibilities

Pipeline Engineering:



  • Design and build production‑grade data pipelines using AWS serverless technologies with proper error handling, retry logic, and observability.

  • Implement data warehousing patterns for historical tracking and compliance requirements.

  • Build incremental data processing workflows with change data capture (CDC) and idempotent designs.

  • Create multi‑stage orchestration workflows with parallel execution capabilities.

  • Develop appropriate test scripts and test the code before promoting to production.


Integration Development:



  • Connect multiple enterprise systems (ERP, CRM, e‑commerce platforms, 3rd‑party APIs) with each other and to cloud data warehouse.

  • Build event‑driven data flows using AWS messaging and streaming services.

  • Design RESTful APIs for real‑time data access with proper authentication and authorization.

  • Develop integrations across retail, supply chain, and financial systems.


Infrastructure & DevOps:



  • Write infrastructure as code using Terraform to manage all cloud resources.

  • Build multi‑environment deployment pipelines with automated testing and validation.

  • Implement monitoring and alerting for pipeline health, data quality, and SLA compliance.

  • Optimize cloud costs through serverless architecture patterns and right‑sizing.

  • Define security guardrails within data integrations.


Qualifications

  • Minimum 5–7 years of experience designing, building, and supporting data integrations and pipeline orchestrations using AWS technologies such as Lambda, Step Functions, Fargate, Glue, etc.

  • 5+ years’ experience with Snowflake is a must.

  • 3+ years’ experience with programming languages – SQL, Python.

  • Familiarity with retail as a business is a nice to have.

  • Familiarity with Oracle Integration Cloud (OIC) or other integration platforms is a plus.

  • Familiarity with reporting tools such as Sigma is a huge plus.

  • Familiarity with Salesforce ecosystem is preferred (SFCC, SFSC, SFMC).

  • Strong written and verbal communication skills.

  • Master’s degree in computer science or bachelor’s degree with equivalent work experience.

  • Snowflake / Salesforce certifications desirable.


Location & Compensation

Tribeca, NYC (Hybrid Monday–Friday)


Estimated Base Salary: $140,000–150,000. Base pay is one component of David Yurman’s total compensation package, which may also include healthcare benefits, 401(k) plan, bonus, employee discounts, Summer Fridays (corporate roles), generous paid time off, and sick time.


Equal Opportunity & Diversity

David Yurman is an Equal Employment Opportunity employer and provides equal opportunities to all employees and applicants without regard to age, race, creed, color, religion, national origin, sex (including pregnancy, sexual orientation, gender identity), etc. We are committed to fostering a culture of openness, creative collaboration, and diversity, equity, and inclusion.

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