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Data Engineer Sports Analytics Jobs in Portland, OR

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra ...

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

... Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Showing results 41-60

Data Engineer Sports Analytics information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer sports analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer sports analytics 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 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 Portland, OR?

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

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

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

Infographic showing various Data Engineer Sports Analytics job openings in Portland, OR 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, with an average salary of $137,565 per year, or $66.1 per hour.

Sr. Data Operations Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Sr. Data Operations Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

As a Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data Operations, including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they run consistently and efficiently across Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers to deliver accurate, timely datasets and reports that align with business needs. You'll also provide operational support for Fivetran, MOVEit Automation, GoAnywhere, and enterprise file movement processes.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Sr. Data Operations Engineer, you will:

  • Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures, and performance bottlenecks.
  • Proactively monitor platform health, performance, and SLAs using Databricks monitoring, logging, and alerting, to minimize downtime and data issues.
  • Perform root cause analysis and implement long-term fixes that prevent recurring issues and improve overall operational reliability.
  • Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning.
  • Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.
  • Provide operational support for MOVEit Automation, GoAnywhere, and secure file transfer processes.
  • Operate and support Fivetran for data ingestion, ensuring connector health, sync reliability.
  • Manage Tokenization processes to ensure secure handling of sensitive data, including tokenization, detokenization, and compliance with PCI.
  • Audit PCI controls regularly to maintain compliance.
  • Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.
  • Provide after-hours support for critical systems and applications.
  • Develop and maintain documentation, runbooks, and operational standards.

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 5-7 years of experience in Data Operations, ML Operations, or Data Engineering roles.
  • Extensive hands-on experience with Azure Databricks with Unity Catalog, ADF, ADLS
  • Strong experience in SQL, Python, and PySpark
  • Experience working in regulated environments (Finance etc.)
  • Familiarity with secure file transfer tools.
  • Experience with monitoring tools (Azure Monitor, Log Analytics, etc.)
  • Solid understanding of data warehousing, ETL/ELT, and data modeling best practices.
  • Experience with version control and CI/CD pipelines (Azure DevOps, GitHub, etc.)
  • Knowledge of RBAC, data security, and governance in cloud environments.
  • Knowledge of Spark performance tuning, partitioning, and job orchestration.
  • Bachelor's or Master's degree (or equivalent) in Computer Science or related field.

Soft Skills:

  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to work independently in a fast-paced, agile environment.
  • Passion for delivering clean, high-quality, and maintainable code.

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

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