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Junior Data Strategy Jobs in Portland, OR (NOW HIRING)

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... data strategy at Nike. Reporting to the Engineering Director, this team partners with data ... The candidate will lead technical design and development while mentoring junior engineers and ...

... data * Managing day-to-day client interactions, project plans, deliverables, and team coordination ... Coaching junior team members and driving quality, consistency, and timely delivery across ...

Mentoring and coaching junior practitioners while contributing to team development and high-quality ... data-driven insights to shape strategy and define the business models, operating models, and ...

Identify business challenges and opportunities, using modeling and analytics to deliver strategic ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Identify business challenges and opportunities, using modeling and analytics to deliver strategic ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Identify business challenges and opportunities, using modeling and analytics to deliver strategic ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Identify business challenges and opportunities, using modeling and analytics to deliver strategic ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Evaluate new Databricks capabilities and recommend adoption strategies, standards, and ... Mentor junior engineers and contribute to a culture of technical excellence and continuous ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Evaluate new Databricks capabilities and recommend adoption strategies, standards, and ... Mentor junior engineers and contribute to a culture of technical excellence and continuous ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Evaluate new Databricks capabilities and recommend adoption strategies, standards, and ... Mentor junior engineers and contribute to a culture of technical excellence and continuous ...

Data Protection, Manager

Portland, OR · On-site

$150K - $178K/yr

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

Data Protection Consultant

Portland, OR · On-site

$112K - $133K/yr

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

Data Protection Consultant

Portland, OR · On-site

$112K - $133K/yr

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

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Showing results 1-20

Junior Data Strategy information

See Portland, OR salary details

$31.3K

$70.7K

$125.7K

How much do junior data strategy jobs pay per year?

As of Aug 29, 2026, the average yearly pay for junior data strategy in Portland, OR is $70,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What does a junior data strategy professional do?

A Junior Data Strategy professional assists in analyzing data, developing strategies to leverage data for business goals, and supporting data-driven decision-making. They often work with more senior strategists to collect, clean, and interpret data, and help implement best practices for data management. Their role may involve creating reports, identifying trends, and supporting cross-functional teams to ensure effective use of data across the organization.

What are the key skills and qualifications needed to thrive as a junior data strategy professional?

To thrive as a Junior Data Strategy professional, you need a solid foundation in data analysis, business acumen, and a relevant degree such as in statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These competencies ensure you can effectively support data-driven decision-making and contribute to organizational strategy.

What are typical responsibilities and collaborative dynamics for a junior data strategy professional?

As a Junior Data Strategy professional, you'll often support senior team members by collecting, cleaning, and analyzing data to inform business decisions. You may help prepare reports, contribute to data-driven presentations, and assist in developing data governance policies. This role frequently involves collaborating with departments such as IT, marketing, and business analytics to ensure that data solutions align with organizational goals. It's common to participate in cross-functional meetings, where your input helps shape strategies for data usage across the company.

What is the difference between Junior Data Strategy vs Data Analyst?

AspectJunior Data StrategyData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; often similar certifications
Work EnvironmentCollaborative teams, strategic planning, cross-departmental projectsData collection, cleaning, analysis, reporting
Employer & Industry UsageBusiness strategy teams, consulting firms, tech companiesFinance, healthcare, marketing, tech industries

Junior Data Strategy roles focus on supporting strategic initiatives and planning using data insights, often working closely with business teams. Data Analysts primarily analyze data sets to generate reports and insights. While both roles require similar educational backgrounds and certifications, Junior Data Strategists are more involved in strategic planning, whereas Data Analysts focus on data processing and analysis.

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

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

What job categories do people searching Junior Data Strategy jobs in Portland, OR look for?

The top searched job categories for Junior Data Strategy jobs in Portland, OR are:

Infographic showing various Junior Data Strategy 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 $70,726 per year, or $34 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Nike rating

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


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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