Portland, OR

Data Jobs in Portland, OR

21 jobs found

Include remote jobs

Today

Senior Data Engineer

CGI Group, Inc. Portland, OR 🇺🇸 Remote

Portland, OR

Today

$63k - $139k/yr Full time Senior Azure Azure Data Factory

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Job Description

Work remotely from Oregon (USA) as a Senior Data Engineer at CGI Group, Inc., helping deliver reliable enterprise data platforms and ETL/ELT pipelines through rigorous testing, validation, and automation. This role combines strong technical depth with Agile/Scrum collaboration, supported by competitive compensation (USD 62,900 - 139,300 yearly) and a benefits package designed for your wellbeing and long-term growth.

You will design and execute end-to-end test plans that validate data accuracy, completeness, transformation logic, reconciliation, and data quality across source and target systems. If you enjoy turning quality concepts into repeatable testing assets and SQL-based checks, this position is built for that kind of impact.

What you’ll do

Design, develop, and execute test plans, test scenarios, and test cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions.
Run end-to-end ETL testing and validate data accuracy, completeness, transformation logic, reconciliation, and data quality across systems.
Write complex SQL queries to support backend testing and data validation.
Test large-scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hive, Hadoop/HDFS, and Azure Data Factory (ADF).
Perform functional, integration, regression, system, and data quality testing for data pipelines and data-driven applications.
Validate batch processing, job scheduling, dependencies, and workflow execution using Control M and Unix/Linux environments.
Identify, document, track, and retest defects while partnering with developers, data engineers, business analysts, and other stakeholders.
Develop and maintain reusable test scripts and automation solutions where applicable.
Participate in Agile/Scrum activities including sprint planning, refinement, daily stand ups, reviews, and retrospectives.

What you bring

8+ years of experience in software quality engineering/testing, with strong experience in ETL testing, data validation, integration testing, and regression testing.
Strong hands-on SQL skills, including complex queries for source-to-target validation, reconciliation, and data quality testing.
Experience testing large-scale data platforms and ETL/ELT pipelines.
Hands-on experience with Databricks, Apache Spark, PySpark, Python, and Azure Data Factory (ADF).
Experience with Hadoop ecosystem technologies including Hadoop/HDFS and Hive.
Experience working in Unix/Linux and using enterprise job scheduling tools such as Control M.
Solid understanding of data quality concepts, data transformations, data mappings, and source-to-target validation.
Experience with defect management and test management processes in Agile/Scrum delivery environments.
Strong analytical, troubleshooting, communication, and collaboration skills.

Benefits

Competitive compensation including a profit participation program
Comprehensive medical, dental, and vision benefits
Basic life and accidental death & dismemberment insurance
401(k) matching contributions and a CGI share purchase plan
Flexibility and paid accrued vacation leave of 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
10 paid holidays per year
At least 80 consecutive hours of paid sick/safe leave (with exceptions where state/local law requires more)
Paid parental leave ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
Bereavement leave ranging from 1 to 7 days per year based on relationship
Paid jury duty leave, up to time summoned
Learning opportunities and tuition assistance
Wellness and Well being programs

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4d ago

Senior Data & AI Engineer

Daimler Truck North America Portland, OR

Portland, OR

4d ago

$117k - $150k/yr Full time Senior Agentic Ai Ai Agent

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Job Description

Senior individual contributor role building and enabling AI/ML and automation solutions across DTNA in a hybrid Portland, OR environment.

Responsibilities

Design, build, and deploy AI/ML, agentic, and automation solutions for high-impact, high-complexity business initiatives with business team co-development.
Translate business objectives into working solutions and rapid proofs of concept, enabling business teams to own, enhance, and sustain what is built.
Move promising prototypes into governed, production-ready solutions with IT, the Data Intelligence Hub (DIH), and business-embedded data teams.
Apply engineering best practices including continuous integration and delivery pipelines, automated testing, and documentation.
Create reusable solution patterns, including connecting business data to conversational AI tools so solutions proven once can scale across teams.
Develop new ways of working with data, analytics, automation, and AI; share resulting best practices with teams across DTNA.
Support CI colleagues by developing data, analytics, automation, and AI solutions for CI programs and advancing CI culture and adoption across DTNA.
Serve as a technical reference for BDAT and across DTNA on AI engineering, data platforms, and best practices.
Partner with IT and DIH to evaluate, pilot, and integrate tools and platforms enabling self-service analytics, automation, and AI, including:
- Snowflake and Snowflake Cortex
- Microsoft Copilot and Copilot Studio
- LibreChat
- Power Platform
- GitHub
Work hands-on on technical integration details such as data connections and APIs, access and governance, usage and cost transparency, and auditing of self-service environments.
Stay current on emerging data and AI trends (including GenAI, agentic approaches, and automation), test hands-on, and recommend adoption timing for DTNA.
Lead hands-on coaching and co-development engagements across business units using a teach others to build approach with tangible deliverables.
Coach teams to apply data, analytics, automation, and AI in their own CI work.
Provide technical consultation and innovative approaches to unique business challenges using data, analytics, automation, and AI.
Mentor and develop junior team members and data community practitioners.
Collaborate with senior leadership, IT, the AI Center of Excellence (AI CoE), and the enterprise data community (Hub for Analytic Collaboration) to advance a data- and AI-driven culture and promote self-service.
Act as strategic and technical advisor to business units by recommending the right approach (AI/ML, automation, analytics, or BI) and knowing when a simpler solution is preferable.
Identify new opportunities to apply data, analytics, and AI to strategic initiatives and challenge established ways of working.
Foster and grow an engaged data and AI community through collaboration, knowledge sharing, and best practices.
Participate in community events including the annual DT Week conference, workshops, and hackathons.

Requirements

Bachelor's degree and 5+ years of relevant experience, or 8 years of relevant experience in lieu of a degree.
Advanced proficiency in Python and SQL, including ability to write, review, test, and productionize code; ability to sanity-check AI-generated output.
Demonstrated experience designing, building, and deploying AI/ML, automation, or data solutions beyond prototypes into production.
Hands-on experience building with LLMs and agentic approaches (e.g., Snowflake Cortex, Microsoft Copilot Studio, LibreChat, or comparable platforms), including judgment on appropriate use and continuous learning habits.
Strong grounding in machine learning and statistical methods.
Hands-on experience with cloud data platforms (e.g., Snowflake), including data modeling and ETL, plus API integrations.
Working knowledge of DevOps practices: version control (e.g., GitHub), automated testing, and CI/CD pipelines.
Ability to coach and co-develop with teams at all levels and translate between business and technical audiences, including executives.

Technologies

Python
SQL
AI/ML
GenAI
LLMs
Agentic approaches
Snowflake
Snowflake Cortex
Microsoft Copilot
Microsoft Copilot Studio
LibreChat
Power Platform
GitHub
Power BI
Tableau
Alteryx
ETL

Benefits

Annual bonus program
401k company contribution with company match up to 6%
Non-elective company contribution of 3-7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans and wellness programs
Onsite fitness (at some locations)
Tuition assistance and volunteer paid time off
Short-term and long-term disability plans

Additional Information

Hybrid schedule: 4 days per week in-office / 1 day remote.
No visa sponsorship for this position; applicants must be legally authorized to work permanently in the country of the position at the time of application.
Final candidate must successfully complete a criminal background check.
Final candidate may be required to complete a pre-employment drug screen.
Contractors and other contingent workers should confirm eligibility to apply for FTE positions with their local agency.
EEO - Disabled/Veterans.
Relocation assistance is not available for this position.

Exceptional Candidates Might Have

Master's degree in a quantitative field, or a Data Science certification or equivalent
Experience with MLOps including model monitoring and maintenance
Experience with governance, cost management, or usage transparency for cloud data and AI platforms
Experience designing or delivering training and upskilling programs
Familiarity with BI and automation tools (e.g., Power BI, Tableau, Alteryx, Power Platform)
Experience scoping and leading time-boxed engagements, including managing scope, timelines, dependencies, and stakeholders
Familiarity with continuous improvement principles and methodology, including standardization needs before building technical solutions
Experience in manufacturing, automotive, or transportation industries
Degree in Business, Mathematics, Computer Science, Statistics, Analytics, or a related quantitative field

Posting Information

A scheduled posting end date is provided to assist candidates with application planning.
End dates may change; postings may be extended or removed earlier than expected.

Location: Portland, OR (hybrid). Salary: USD 117,000 - 150,000 per year. Experience: 5+ years. Education: Bachelor's degree.

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6d ago

Supply Chain Data Analyst

CV Resources Portland, OR

Portland, OR

6d ago

$30+/hr Contract Data Data Analysis Data Analytics

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Job Description

Work onsite in Portland, OR as part of a short-term contract (2 to 4 months) supporting high-impact data and digital initiatives for a manufacturing and distribution client. This role focuses on keeping supply chain and ERP data accurate and aligned while also helping prepare data for a CRM implementation and a website redesign. If you enjoy solving data quality issues and collaborating across teams, this position offers hands-on ownership of the details that make system projects succeed.

Responsibilities

Analyze, validate, and organize supply chain data to ensure accuracy, consistency, and integrity across business systems.
Review, maintain, and optimize master data lists and related datasets.
Support CRM implementation and website redesign efforts by improving data readiness, structure, and cross-platform alignment.
Collaborate with ERP support teams, external website development partners, and cross-functional department leaders to coordinate data requirements and resolve discrepancies.
Identify data quality issues, investigate inconsistencies, and recommend solutions to improve data accuracy and reliability.
Translate business needs into clear data requirements and communicate technical information effectively to stakeholders.
Assist with data mapping, validation, and coordination between ERP, CRM, and other business systems.
Provide ongoing communication and project support to keep data-related work organized and moving forward.

Requirements

Experience in data analytics, data management, or a similar analytical role within a supply chain, manufacturing, or distribution environment.
Hands-on exposure to a large ERP system, ideally Sage X3 or a comparable enterprise platform.
Strong understanding of supply chain data, master data management, and data integrity principles.
Experience supporting system implementations, data migrations, integrations, or website/CRM-related data initiatives is highly desirable.
Exceptional attention to detail and confidence working with large, complex datasets.
Strong communication and collaboration skills to coordinate across technical teams, external partners, and business stakeholders.
Highly organized and proactive, with comfort working independently in a dynamic project environment.

Additional Details

Location: Portland, OR (onsite), Southeast Portland, with some hybrid flexibility for the right candidate.
Job type: contract (part-time).
Compensation: USD 30/hour.
Start date: flexible for an exceptional candidate, with a preference for early next year.
Technology: Sage X3.

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17d ago

Data Engineer

D.A. Davidson Portland, OR

Portland, OR

17d ago

$74k - $118k/yr Full time Data Data Analysis Data Analytics

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Job Description

The Data Engineer role at D.A. Davidson focuses on expanding and improving data and data pipeline architecture, with an emphasis on reliability, performance tuning, and operational monitoring of data flows that collect, integrate, and provision data.

Key Responsibilities

Design, implement, and maintain a robust, efficient, and compliant data pipeline architecture
Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and infrastructure redesign for greater scalability
Build and maintain a service-based architecture for publishing consumable data and information objects
Partner with data architects and data analysts to enhance and evolve the data environment
Collaborate with Business and IT stakeholders to address data-related technical issues and support data and information requirements
Define and develop frameworks, guidelines, best practices, and examples to support accurate, compliant, and secure data structures and integration processes
Facilitate the development and implementation of data quality standards, data protection standards, and enterprise adoption requirements
Define performance indicators and quality metrics, ensuring compliance with data policies, standards, roles and responsibilities, and adoption requirements
Participate in an on-call rotation to monitor, troubleshoot, and resolve data integration alerts and failures

Required Qualifications

5 or more years of Data Engineering experience in an oversight capacity
Extensive domain-specific experience in the Financial Services industry
Experience with Microsoft cloud-based technologies in a hybrid architecture
Advanced working TSQL knowledge, including experience with relational databases, query authoring, stored procedure development, and end-to-end data pipeline development
Experience performing operational analysis on internal and external data and processes to uncover failure points and identify improvement opportunities
Strong analytical skills working with complex, multi-layered data pipelines and dependent datasets
Experience facilitating calls to capture end-user requirements with technical and non-technical participants
Holistic awareness of processes supporting data preparation, metadata, dependencies, lineages, compliance, and workload management
Understanding of data modeling concepts including conceptual data modeling, logical data modeling, relational data modeling, and dimensional and multi-dimensional data modeling
Understanding of meta-model and metadata management requirements
Commitment to maintain client confidentiality and data security
Ability to communicate clearly and in a service-oriented manner using professional language and grammar
Ability to proactively work with external and internal clients in a professional manner to accomplish responsibilities and objectives
Ability to maintain regular, predictable attendance

Technologies and Tools

Microsoft cloud-based technologies
TSQL, relational databases, and stored procedure development
Microsoft Fabric
Pipelines, notebooks, and Lakehouse/Warehouse concepts
Medalion architecture
MS SQL Server, SSIS, Azure Integration Services
ActiveBatch
Web services and API integrations
Python and PowerShell
Agile, DevOps, and DataOps
Source code control, versioning, test automation, continuous integration, and automated deployment
Recoverability and telemetry

Location and Employment Information

Location: Oregon (onsite)

Salary Range: USD 73,500 - 117,900 per year

Experience Required: 5+ years

Benefits

Medical, Dental and Vision
Company 401(k) and ESOP contribution
Generous sick, vacation, and maternity/parental leave
Paid holidays
Professional Development Opportunities
Tuition Reimbursement (lifetime cap of $15,000)
Discounted personal insurance including home, auto and recreational vehicles
Charitable gift-matching program
Davidson Day of Giving

What We Offer

The position includes a competitive salary and benefits and perks, including professional development opportunities.

Base Pay Potential

The potential base pay hiring range for this role is $73,500 – $117,900 annually.

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1mo ago

Senior Data Engineer

Columbia Sportswear Company Portland, OR

Portland, OR

1mo ago Closed

Full time Backend Developer Senior Analytics

This position is no longer accepting applications (closed Oct 29, 2026).

Job Description

Columbia Sportswear Company is hiring a Hybrid Senior Data Engineer based near Portland, Oregon. This role supports analytics and reporting needs by building dimensional data models, reliable ELT/ETL pipelines, and governed Power BI semantic layers, with a focus on data quality, lineage, and security.

Working onsite four days per week, you will help design and deliver governed data products and ingestion workflows that move data into modern lake and warehouse environments.

Responsibilities

Design and implement Kimball-style dimensional models and analytical datasets
Develop data transformations with tests, documentation, and data contracts
Build and maintain ELT/ETL workflows into data warehouses and lakes, including orchestration, monitoring, and cost and performance tuning
Create and maintain governed Power BI semantic models and datasets
Enable self-service analytics while enforcing data quality, lineage, and security policies
Share data and tool practices that increase organizational access to data and support ad hoc analysis to drive data-informed decisions
Explore internal and external data sources and collaborate with BSAs and Data Engineering teams to ingest data into data lake/data bricks/synapse for analysis and development
Elicit and clarify business requirements
Document specifications, KPIs, and acceptance tests
Deliver demos, office hours, and enablement
Implement CI/CD with Git-based workflows, unit and integration testing, and data observability using SLAs/SLOs
Profile SQL and storage strategies, including caching and compute scaling approaches
Contribute to catalog and lineage, RBAC/ABAC controls, PII handling, and retention standards

Requirements

Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or related field (foreign equivalent accepted)
36 months of experience in the job offered or related position
Experience with SQL development, including complex queries, stored procedures, views, joins, and performance tuning in SQL Server environments
ETL/ELT development using SSIS or equivalent tools, including data mapping, transformations, scheduling, and job automation
Power BI development, including semantic models, dashboards, reports, and publishing to Power BI Service
Experience creating DAX measures
Experience with Power Query (M) transformations
Dimensional modeling experience, designing star and snowflake schemas using Kimball or equivalent methodologies
Data validation and profiling, including dataset optimization, incremental refresh, and cross-system data reconciliation
Experience working with databases and cloud platforms such as Azure SQL or Snowflake
Experience using JIRA for issue tracking and project management

Technologies

SQL, SQL Server, SSIS
Power BI, DAX, Power Query (M), Power BI Service
Kimball
Azure SQL, Snowflake
Git, JIRA

Benefits

401k plan plus a generous company match
Medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account
EAP plus free and confidential 24/7/365 counseling services
Accident, critical illness, hospital indemnity, and legal services (voluntary benefits)
Extensive wellness benefits
Employee discounts
Generous time off program

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1mo ago

Sr. Data Analyst

adidas Portland, OR

Portland, OR

1mo ago Closed

Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Oct 27, 2026).

Job Description

Join adidas in Portland, OR (hybrid) to support North America business functions with expert data, analytics, and technology. In this Senior role within NAM Data & Analytics (DNA) Business Insights, you will help shape reporting and data visualization so leaders can make better decisions backed by clear, action-oriented insights.

What you’ll do

Collaborate with business partners to create or modify reports, dashboards, planning templates, and other data and insight solutions that support a fast-moving business and improve decision-making
Drive continuous improvement by identifying ways to enhance data quality and ensure reports, dashboards, and forecasting templates align with adidas best practices
Apply business knowledge to ensure data is accurate, valid, timely, and clean
Build and manage data and report distribution processes that are efficient, timely, and easy for users to work with
Look for opportunities to streamline processes across the existing Business Insights tech stack, DBMS, and data architecture, recommending and piloting changes when appropriate
Partner with Tech and across the DNA team to support optimum data availability and stability, including troubleshooting issues related to transfer, storage, retrieval, and calculation
Implement current technology and best practices for data architecture, modeling, and availability
Collaborate with Global and Market DNA teammates through partnerships and idea sharing to deliver value-adding solutions
Lead and participate in cross-functional projects as required, including work with third-party and external partners
Act as a data change-agent across the organization

Required experience and skills

5-7 years of proven experience in several areas such as data analytics, data wrangling, database management, finance, and information technology
Proven success creating and maintaining databases, ensuring data integrity, managing data flows, and supporting data storage in an enterprise DBMS
Expertise in reports and analysis that impact decision making at senior management level (including CEO and CFO)
Experience leading influential projects with peers, business partners, and senior managers
Strong communication skills, with ability to present information in writing and orally and respond to questions from senior leadership and stakeholders
Demonstrated knowledge of BI and data exploration and visualization tools, including Power BI
Knowledge of data architecture and modeling concepts in context of Datawarehouse, Data Lake, and/or Lakehouse
SQL proficiency, plus MS Excel and Power Query
Experience delivering in Agile frameworks (Scrum, Kanban) and using tools such as JIRA and Confluence (or similar)
Ability to troubleshoot, define problems, collect and interpret data, and draw valid conclusions to solve issues
Cross-functional thinking, including ability to join data from various sources and derive meaningful conclusions or develop innovative solutions
Ability to work independently with little guidance across multiple projects, with a growth mindset and continuous learning in a feedback culture
Passion for data
Alignment with adidas core belief in the power to change lives through sport
Bachelor or Master degree in Business Analytics or Data Analytics, with concentration in Business, MIS, Finance, or Accounting, or equivalent relevant job experience
Retail math understanding and key business drivers (preferred)
Understanding of data visualization and exploration concepts, including how to tell stories through data

Benefits

Robust and progressive medical coverage, including HSA with employer funding or FSA options, plus dental, vision, prescription drug coverage, adoption and surrogate and fertility support, short- and long-term disability, and basic life and AD&D insurance
401k plan and Stock Purchase Plan with employer match
Education assistance and generous leave policies, including 14 weeks of paid parental leave
Annual bonus based on company performance
Prorated flexible time off of .4388 hours per day, increasing with years of service
Twelve paid holidays throughout the calendar year and Service Time Off during milestone years
Hybrid work policy: office attendance Monday through Thursday, with flexibility to work remotely on Friday each week; Friday remote requires in-office attendance when high collaboration or in-person presentation is needed

Tools and technologies you’ll use

Power BI, SQL, MS Excel, Power Query
Scrum, Kanban, JIRA, Confluence
Datawarehouse, Data Lake, Lakehouse, DBMS

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1mo ago

Quality & Compliance Data Analyst

ColumbiaCare Services Portland, OR

Portland, OR

1mo ago Closed

$28 - $35/hr Full time Compliance Compliance Audits Compliance Reporting

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

ColumbiaCare Services is hiring an on-site Quality & Compliance Data Analyst in Portland, Oregon to support audit readiness, reporting, and operational compliance.

Responsibilities

Support compliance with operational standards and external regulatory frameworks.
Assist teams in compiling clinical documentation.
Track and maintain audit performance tracking systems.
Develop comprehensive reports requested by executive leadership and state licensing boards.
Coordinate with local program managers to align data and documentation needs.
Detect process errors or operational gaps that may qualify for corrective action plans.
Assist staff with data collection protocol implementation and coordinate training arrangements.
Apply knowledge of state behavioral health regulations and documentation laws.

Requirements

Bachelor’s degree in mathematics, statistics, computer science, information technology, or a related field.
1-3 years of experience as a data analyst or similar role.
Ability to understand data gathering, screening, coding, transforming, and modeling/diagramming techniques.

Technology

MS Excel
Pentaho Software
SPSS
SAS
SQL
R
Python
AMOS

Preferred Qualifications

Working knowledge of MS Excel and Pentaho Software
Working knowledge of SPSS, SAS, SQL, R, Python, and AMOS

Benefits

Affordable Medical / Dental / Vision plans
Flexible Spending Account
Generous Paid Time Off
Whole Health & Wellness Reimbursement Program
Professional development and training opportunities
100% vested retirement plan with up to 6% match
Holiday Pay (9)
Paid Personal Growth Hours
Paid Time Off for Mental Health
Company paid life insurance
Spontaneous & Longevity Bonuses
Loan Forgiveness Program eligibility
Employee Assistance Program (EAP) & Tobacco Cessation Program

Technology Requirement

Maintain access to a compatible smartphone capable of supporting the organization’s approved multi-factor authentication (MFA) application as a condition of employment.

Work Schedule

Monday through Friday
8:00am – 5:00pm (Full Time, Day)

Pay

$28.00 - $35.00 per hour (DOE/Credentials)
Additional 5% language differential for bilingual or multilingual candidates

Physical Requirements

Frequently sit, walk, climb stairs, bend, stoop, talk, listen, and use hands and fingers.
May occasionally require ladders, squatting/kneeling, basic tools, and other physical tasks as applicable, including minimal cleaning tasks.
May require lifting, carrying, pushing, and pulling up to 40 pounds.