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Data Processing Services Jobs in Portland, OR (NOW HIRING)

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... services (S3, RDS) * Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices * Experience with data modeling, ETL/ELT processes, real ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

... data processing and analysis. You will be responsible for developing and implementing data ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business ... Experience supporting self-service analytics platforms and integrating Databricks with Power BI or ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business ... Experience supporting self-service analytics platforms and integrating Databricks with Power BI or ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business ... Experience supporting self-service analytics platforms and integrating Databricks with Power BI or ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business ... Experience supporting self-service analytics platforms and integrating Databricks with Power BI or ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI, Flask) * Containerization (Docker, Kubernetes) * Work with modern data platforms: * Time-series ...

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All JobsData Processing Services JobsData Processing Services Jobs in Portland, OR

Data Processing Services information

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How much do data processing services jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data processing services in Portland, OR is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.70 per hour, depending on experience, location, and employer.

What is the difference between Data Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are career opportunities in data processing services?

Careers in data processing services include roles such as data analyst, data entry clerk, database administrator, and data processing technician. These positions often require skills in data management, familiarity with software tools like Excel or SQL, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or training in data management systems.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into meaningful information for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

What are popular job titles related to Data Processing Services jobs in Portland, OR?

For Data Processing Services jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Processing Services jobs in Portland, OR look for?

The top searched job categories for Data Processing Services jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Processing Services jobs?

Cities near Portland, OR with the most Data Processing Services job openings:

Data Processing Services jobs near you
Infographic showing various Data Processing Services job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $44,704 per year, or $21.5 per hour.

Lead Data Engineer

Beaverton, OR • On-site

Nike
Retail • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Nikeexternal

$119K - $143K/yr

Full-time

Re-posted 7 hours ago

Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree in Computer Science or related field. Will accept any suitable combination of education, experience and training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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