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Data Engineer Sports Analytics Jobs in Oregon (NOW HIRING)

Human Interest

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Mentor data engineers and analysts, raising the technical bar across the team. What you bring to the role * 5+ years of experience as a Data Engineer with a strong focus on production data pipelines ...

Valtech

Data Engineer Snowflake/Agentic AI

OR · On-site +1

$155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Perform root cause analysis to identify permanent resolutions to software or business process ...

Waymark

Senior/Principal Data Engineer

OR · On-site +1

$125K - $172K/yr

Partner with data science and data analytics teams to build and operationalize the data foundations ... Significant software engineering experience with substantial focus on healthcare data engineering ...

Verve

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... analysis * You've designed schemas and optimized queries for a data warehouse like BigQuery or ...

Valtech

Senior Data Engineer SQL

OR · On-site +1

$155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Perform root cause analysis to identify permanent resolutions to software or business process ...

Lennar

Director, Data & Analytics

Salem, OR · On-site

Director, Data Engineering We are Lennar Lennar is one of the nation's leading homebuilders ... Lead, mentor, and develop a team of data engineers, analysts, and scientists, ensuring alignment ...

Lennar

Director, Data & Analytics

Salem, OR

Director, Data Engineering We are Lennar Lennar is one of the nation's leading homebuilders ... Lead, mentor, and develop a team of data engineers, analysts, and scientists, ensuring alignment ...

TCGplayer, Inc.

Staff Data Eng, Data Systems, TCGplayer

OR · On-site +1

$136K - $228K/yr

You will work closely with engineering, platform, and analytics teams to strengthen data governance, improve confidence in data-related changes across distributed environments, and guide sound ...

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Amerilife Group, LLC

Director, Data Engineering

OR · On-site +1

... Engineer Professional certification. * Experience with Azure cloud services and enterprise security. * Experience with Data Vault 2.0. * Knowledge of AI, machine learning, and enterprise analytics ...

Under Armour

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide ...

Netflix

Software Engineer 5 - Platform Data Products

OR · On-site +1

$388K - $558K/yr

We're looking for a full stack engineer to join our diverse team of analytics, data, and software engineers. In this role, you will focus on building products that enable Netflix to improve the ...

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Showing results 41-60

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Oregon

Data Engineer Sports Analytics information

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Sports Analytics jobs in Oregon?

For Data Engineer Sports Analytics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Engineer Sports Analytics jobs in Oregon look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Oregon are:

What cities in Oregon are hiring for Data Engineer Sports Analytics jobs?

Cities in Oregon with the most Data Engineer Sports Analytics job openings:

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Supply Chain Data Engineer & Analytics Lead

Bausch + Lomb

OR

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Bausch & Lomb rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

22nd of 545 rated manufacturers

Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
The Principal Supply Chain Data Engineer and Analytics Lead is a critical role responsible for building the data foundation, analytics capabilities, and insight-generation engine required to support Bausch + Lomb's supply chain transformation. This role will partner closely with to extract, connect, structure, analyze, and visualize complex supply chain data across enterprise systems.
This role is designed for a highly analytical, business-oriented data professional who can operate across both technical and commercial dimensions. The individual will help convert large volumes of fragmented operational data into actionable insights, predictive analytics, and decision-support tools that improve service, cost, quality, inventory, productivity, and end-to-end supply chain performance.
The successful candidate will bring strong data engineering and supply chain analytics capabilities, preferably with consulting experience or experience working in transformation-oriented environments. This role will support quantitative and commercial decision-making by developing reliable data pipelines, dashboards, analytical models, predictive tools, and AI-enabled insights that help identify opportunities, quantify value, and drive execution across the supply chain network.
Success in this role will be measured by the ability to improve data availability, accelerate insight generation, strengthen forecasting and operational decision support, improve analytics quality, and enable measurable business outcomes across logistics, planning, warehousing, inventory, and customer fulfillment processes.
Key responsibilities
  • Develop and maintain supply chain data models, pipelines, and data structures that enable consistent reporting, analytics, and decision support across logistics, planning, inventory, warehousing, and fulfillment processes.
  • Extract, transform, and integrate data from ERP, MRP, DRP, WMS, WCS, TMS, planning, finance, and other enterprise systems to create reliable analytical data sets.
  • Design and deliver dashboards, scorecards, visualization tools, and management reporting that translate complex data into clear business insights and recommended actions.
  • Analyze large, complex, and often fragmented data sets to identify patterns, root causes, risks, opportunities, and improvement levers across the end-to-end supply chain.
  • Develop predictive analytics, simulation tools, optimization models, and AI-enabled use cases that support service, cost, quality, inventory, and capacity decision-making.
  • Support opportunity funnel development by quantifying savings opportunities, operational impacts, customer service implications, and commercial trade-offs.
  • Create analytical tools that support decisions related to network performance, warehouse productivity, transportation cost, inventory positioning, demand and supply variability, and service performance.
  • Translate technical analysis into executive-ready insights, business cases, and recommendations that support transformation governance and leadership decision-making.
  • Collaborate with IT and data architecture teams to improve data accessibility, governance, automation, scalability, and long-term sustainability of analytics solutions.
  • Contribute to continuous improvement by identifying opportunities to simplify, standardize, automate, and scale supply chain analytics and reporting processes.

Requirements:
  • Bachelor's degree in supply chain management, Engineering, Data Science, Computer Science, Information Systems, Business Analytics, Operations Research, Finance, or a related discipline.
  • 5+ years of progressive experience in supply chain analytics, data engineering, business intelligence, operations analytics, consulting, or a related field.
  • Demonstrated ability to work with complex operational data and convert large data sets into business insights, decision-support tools, and executable recommendations.
  • Experience extracting, transforming, validating, and analyzing data from ERP systems and other supply chain platforms.
  • Strong understanding of end-to-end supply chain processes, including demand planning, supply planning, MRP, DRP, warehousing, distribution, transportation, inventory, and customer fulfillment.
  • Strong analytical, quantitative, and problem-solving skills with the ability to conduct commercial and operational decision-making analysis.
  • Ability to partner effectively with various functions
  • Strong communication skills with the ability to explain complex data, models, assumptions, and insights to technical and non-technical audiences.
  • Ability to manage multiple priorities, work through ambiguity, and deliver high-quality analytics in a fast-paced transformation environment.

Specialized Training & Skills:
  • Advanced capability with SQL, Python, R, Alteryx, Power Query, or similar data extraction, transformation, and analytics tools.
  • Strong visualization and dashboard development experience using Power BI, Tableau, Qlik, or comparable business intelligence platforms.
  • Knowledge of ERP systems and supply chain data structures, including master data, transactions, inventory, orders, production, procurement, warehousing, and logistics data.
  • Experience building predictive models, forecasting tools, optimization models, simulation analyses, machine learning use cases, or AI-enabled decision-support solutions.
  • Ability to connect operational performance metrics with financial and commercial implications, including cost, margin, service, inventory, productivity, and working capital impacts.
  • Strong data quality, data governance, data validation, and data storytelling capabilities.
  • Experience documenting business requirements, data logic, metric definitions, assumptions, and model outputs for repeatable use across stakeholders.
  • Familiarity with Lean Six Sigma, structured problem solving, process mapping, or consulting-style analytics frameworks preferred.

Preferred Skills and Experience:
  • Experience with a consulting firm, internal consulting group, transformation office, supply chain excellence team, or advanced analytics organization.
  • Experience in medical device, pharmaceutical, healthcare, consumer health, manufacturing, or other regulated supply chain environments.
  • Experience supporting logistics transformation, warehouse optimization, inventory analytics, planning improvement, network analysis, or service-cost-quality improvement initiatives.
  • Working knowledge of SAP, Oracle, Kinaxis, Blue Yonder, Manhattan, HighJump/Korber, SAP EWM, Dematic, or other ERP, planning, WMS, WCS, or supply chain execution platforms.
  • Certification or advanced training in data analytics, data engineering, supply chain management, Lean Six Sigma, APICS CPIM/CSCP, project management, or AI/ML preferred.

This position may be available in the following location(s): U.S. - Remote
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For U.S. locations that require disclosure of compensation, the starting pay for this role is between $145,000.00 and $165,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.
U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.
To learn more please read Bausch + Lomb's Job Offer Fraud Statement.
Our Benefit Programs: Employee Benefits: Bausch + Lomb
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853

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