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Data Operations Jobs in Oregon (NOW HIRING)

OR ยท On-site

$120K - $130K/yr

POSITION SUMMARY The Data Operations Engineer plays a crucial role in enabling data-driven decision-making across the organization. This individual will work closely with stakeholders to deliver and ...

OR ยท On-site

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational excellence of our analytics and data systems. This role is operationally critical and technically ...

The Sr. Commercial Data Operations Manager will be responsible for owning and optimizing the data operations ecosystem by integrating organizational data, ensuring reliable data operations, and ...

As the Head of Quality, AI Data Operations , you will be responsible for ensuring that the quality of our training data, adversarial testing, and model evaluation services meets the highest standards.

This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research ...

The Director, CX Platform & Data Strategy owns the CX technology and data backbone that powers ... Your experience is focused on reporting and insights without driving operational action or decision ...

OR ยท On-site

Ensure Pager Health uses data effectively to drive business performance, operational efficiency, and strategic decision-making. Develop scalable internal reporting frameworks and dashboards that ...

$114K - $137K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are occurring as expected. This includes but is not limited to managing data implementations, data ...

$114K - $137K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are occurring as expected. This includes but is not limited to managing data implementations, data ...

Director of Data Sourcing

OR ยท On-site +1

$350K/yr

We analyze billions of alternative data points every day to provide accurate, detailed insights across sectors, including e-commerce, ridesharing, payments, and marketplaces. Our proprietary ...

OR ยท On-site

$149K - $248K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a ...

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Data Operations information

See Oregon salary details

$55K

$135.9K

$211.5K

How much do data operations jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data operations in Oregon is $135,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $172,900.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Oregon? The most popular types of Data Operations jobs in Oregon are:
Infographic showing various Data Operations job openings in Oregon as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $135,888 per year, or $65.3 per hour.
Data Operations Engineer

Data Operations Engineer

Veritone

OR โ€ข On-site

$120K - $130K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago


Job description

POSITION SUMMARYThe Data Operations Engineer plays a crucial role in enabling data-driven decision-making across the organization. This individual will work closely with stakeholders to deliver and support business operations, focusing on democratizing data and building robust analytics solutions. The Data Operations Engineer will develop data solutions, enhance internal analytics platforms, and streamline processes to drive efficiency.WHAT YOU'LL DO
  • Serve as an expert for Data Analytics and Reporting:

  • BI systems and reporting: Enablement, compliance, development, and maintenance (PowerBI).

  • ETL tools: Enablement, compliance, development, and maintenance (Alteryx, Python,, Boomi/Rivery, Airflow, Openflow, AWS Step Functions, AWS Lambda).

  • Data warehousing: Design, development, and maintenance of data models and structures (Snowflake, MySQL and Postgres).

  • Data pipelines: Build, monitor, and optimize data pipelines for efficient data flow

  • Enable cross-functional collaboration:

  • Promote a data-driven culture by educating and supporting teams in using analytics tools and data effectively.

Improve operational efficiencies:

  • Democratize data access to enable self-service analytics and data-driven insights.

  • Identify and implement cost-saving opportunities related to data infrastructure and processes.

  • Maintain and enhance a centralized repository of data sources, processes, and data flows.

  • Optimize data processes to reduce complexity and improve performance.

  • Document data workflows and processes for business continuity and transparency.

  • Adhere to data governance best practices.

  • Identify and address technical debt within data pipelines and systems.

  • Share knowledge and best practices for efficient code and architectural principles.

  • Design end-to-end solutions that deliver timely and accurate data for business consumption.

  • Manage and democratize data:

  • Develop and maintain workflows to prepare and transform data for analysis.

  • Transform data into actionable insights for business stakeholders.

  • Understand data relationships, flows, and their impact on key performance indicators (KPIs).

  • Develop and maintain operational dashboards to monitor business performance.

  • Enhance and expand the data warehouse and pipelines to support the organization's analytical maturity.

  • Foster a data-driven community within the organization by sharing knowledge and promoting data reuse.

Strategic planning and support:

  • Contribute to the analytical framework for strategic decision-making across business functions

  • Ensure successful data operations

  • Deliver projects based on priorities set for the Data Analytics team

  • ITSM exposure - Incident/Change/Problem Management

  • SOX ITGC focus

  • Strong problem-solving skills for complex data challenges

  • Strong documentation skills

  • Excellent communication skills to convey technical information to both technical and non-technical audiences

  • High-energy, team-first, positive attitude

WHAT YOU'LL NEED
  • B.S. or B.A. required

  • 3+ years experience:

    • Power BI developer required

    • ETL tools such as Alteryx (highly preferred), Python, Airflow, Openflow and Boomi/Rivery

    • Snowflake data warehousing (highly preferred)

  • Experience with Salesforce data and integrations

  • Experience with cloud data warehouses/data lakes and integrations

  • Experience with CI/CD pipelines for data solutions

  • Ability to learn and adapt to new data tools and technologies

  • Experience managing data-related projects

DISCLOSURE

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

(Colorado & California Only*): The Annual salary listed for the position is a range of $120,000-$130,000. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.

*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado & California.