ZipRecruiter

Log In

1

Data Infrastructure Manager Jobs in Oregon (NOW HIRING)

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

... trial management. You'll work in a highly regulated healthcare data environment, ensuring ... Cloud & Data Infrastructure: Hands-on experience with cloud-based analytics and ML services ...

Kellton

Infrastructure Project Manager (W2)

Bend, OR · On-site

... data-driven workflow optimization to maximize output quality, reduce operational downtime, and ... Manage the delivery of IT/OT infrastructure and services for the site throughout the project life ...

Kellton

Infrastructure Project Manager (W2)

Bend, OR · On-site

... data-driven workflow optimization to maximize output quality, reduce operational downtime, and ... Manage the delivery of IT/OT infrastructure and services for the site throughout the project life ...

Versapay

Senior Director, Enterprise Data Management

OR · On-site +1

... manage working capital on their terms. By closing the loop for finance teams and their business ... Drive data infrastructure readiness to support Versapay's AI roadmap - from ML pipelines and LLM ...

Zocdoc

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Comfortable operating as a technical authority without formal management. * Energized by raising standards across analytics, infrastructure, and governance. * Interested in solving complex data ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

... data infrastructure and pipelines - the foundational layer that powers all reporting, analytics, and business decision-making across Fieldwire. You will work closely with Data Insights Managers ...

Standard Metrics

Data Solutions Engineer

OR · On-site +1

$114K - $137K/yr

... management, or similar * Strong SQL skills and ability to write complex queries, perform ad-hoc ... Familiarity with modern data infrastructure such as Snowflake, dbt, or similar data warehouse and ...

YipitData

Senior Data Engineering Manager

OR · On-site +1

Technical execution across Databricks, Airflow, SQL, PySpark , and related data infrastructure ... Partner with Technical Product Managers and Data leads to translate roadmap priorities, customer ...

Pantheon Systems, Inc

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

Pantheon's multitenant, container-based platform enables organizations to manage all of their ... The Role The Data Platform team powers Pantheon's data infrastructure and delivers analytics across ...

previous page

Showing results 41-60

All JobsData Infrastructure JobsData Infrastructure Manager JobsData Infrastructure Manager Jobs in Oregon

Data Infrastructure Manager information

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What are the most commonly searched types of Data Infrastructure jobs in Oregon?

The most popular types of Data Infrastructure jobs in Oregon are:

What are popular job titles related to Data Infrastructure Manager jobs in Oregon?

For Data Infrastructure Manager jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Manager jobs in Oregon look for?

The top searched job categories for Data Infrastructure Manager jobs in Oregon are:

What cities in Oregon are hiring for Data Infrastructure Manager jobs?

Cities in Oregon with the most Data Infrastructure Manager job openings:

Senior Data Scientist

OR • On-site, Remote

OneStudyTeam
See more jobs at OneStudyTeamexternal

$140K - $190K/yr

Full-time

Re-posted 4 days ago

Key responsibilities

  • Develop and enhance statistical models and machine learning algorithms to improve patient enrollment, site randomization forecasting, and trial management.

  • Support projects to build algorithms for patient matching and ranking to enhance recruitment efficiency.

  • Build and optimize data pipelines and analytical workflows to enable scalable model training and deployment.

Job description

As a Senior Data Scientist, you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community.

What You'll Be Working On
  • Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites. 
  • Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion. 
  • Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. 
  • AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant. 
  • Data Pipeline & Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment. 
  • Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. 
  • Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations. 
What You Bring to OneStudyTeam
  • Minimum Education:
    • Minimum of Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience). 
  • Minimum Experience:
    • Minimum of 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment.
  • Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting. 
  • Model Monitoring & Fairness: Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes. 
  • Technical Toolset: Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt. 
  • Cloud & Data Infrastructure: Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment). 
  • Regulated Data Handling: Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices. 
  • Collaborative Communication: Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions. 
  • Domain Knowledge: Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data.

The expected pay range for this role is $140,000 - $190,000 USD per year for full time team members.

#LI-Remote

Apply