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Data Jobs in Remote, OR (NOW HIRING)

JIRA Engineer

OR · On-site +1

$49.50 - $64.75/hr

Assess the current Jira Data Center setup, including projects, workflows, custom fields, and user permissions. * Define the migration scope and identify critical tasks (e.g., data cleanup, user ...

Through innovative data analysis, Bluespine helps minimize unnecessary costs without altering employee benefits or requiring changes in behavior. We are seeking a highly skilled and experienced ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the ...

Software Engineer, Backend

Roseburg, OR · On-site

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database andsupportingsoftware components that store and serve the telemetry behind Cisco Meraki's Dashboard. Our ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the ...

Adobe CDP Engineer

OR · Remote

$105K - $141K/yr

By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what's next. At Lumen, people power progress. Our culture is built on ...

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the ...

New

Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the ...

New

Solutions Engineer

Roseburg, OR · On-site +1

$100K - $118K/yr

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and engineering functions, including design, development, testing, implementation, and ongoing support of ...

Solutions Engineer

Roseburg, OR · Remote

$100K - $118K/yr

Reporting to the Data Solutions Manager, this role performs a full range of database analysis and engineering functions, including design, development, testing, implementation, and ongoing support of ...

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance ...

New

Support engineering and data science teams with audit and FWA concepts, data mapping, and defining data requirements * Determine the likelihood of cases being true error/fraud, based on real-life ...

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Showing results 1-20

Data information

See Remote, OR salary details

$46K

$164.9K

$243.3K

How much do data jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data in Remote, OR is $164,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $169,800.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Remote, OR? The most popular types of Data jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data jobs? Cities near Remote, OR with the most Data job openings:

$49.50 - $64.75/hr

Full-time

Re-posted 2 days ago


Job description

Dynamic Solutions Technology, LLC (DST) is seeking a full time JIRA Engineer to lead a migration from Atlassian Jira Data Center to Atlassian Jira Government Cloud for a Federal client. The candidate must be able to work independently and with a team. This position requires a broad mix of technical and business acumen coupled and excellent communication skills. This is a REMOTE position.
Duties and Responsibilities:
  • Assess the current Jira Data Center setup, including projects, workflows, custom fields, and user permissions.
  • Define the migration scope and identify critical tasks (e.g., data cleanup, user management).
  • Develop migration strategy and detailed timeline.
  • Set up corresponding projects and customize work item types in Jira Gov Cloud.
  • Choose and configure the appropriate migration tools or methods.
  • Conduct test migrations and validate results before production rollout.
  • Migrate projects, workflows, custom fields, and user permissions from Jira Data Center to Jira Gov Cloud.
  • Migrate Jira plugin data alongside project migrations.
  • Perform post-migration validation and obtain stakeholder sign-off.
  • Identify and manage migration risks and mitigation strategies.
  • Ensure workflows and permissions function properly in Jira Gov Cloud.
  • Collaborate with cross-functional teams and stakeholders.
  • Document migration process and lessons learned.
  • Define data mapping for unsupported or custom configurations.
  • Develop internal and user facing documentation outlining changes and guidance.

Education and Years of Experience:
  • Bachelor's degree in information technology, Computer Science, Software Engineering or related technical or functional discipline.

Required and Desired Skills/Certifications:
  • Strong understanding of Jira's architecture, schemes, configurations, and data structures.
  • Experience with data export, import, and validation process.
  • Familiar with tools or techniques for migrating data between platforms (e.g., Migration Assistant, CSV imports, API usage).
  • Experience migrating and supporting Jira plugins (e.g., Jira Workflow Toolbox, Email This Issue, Big Picture, eazyBI).
  • Ability to plan, organize, and manage a migration project from start to finish.
  • Scripting skills (e.g., Groovy, Python) for automating migration tasks or configurations.
  • Experience with API integrations.
  • Experience with Atlassian Access (SSO, SCIM provisioning, and user lifecycle management).
  • Familiarity with Atlassian Cloud limitations vs Data Center.
  • Experience setting up and administering Jira in Atlassian Government Cloud environments.
  • Understanding of Atlassian Data Center and Government Cloud licensing models and user access.
  • Proficiency in using and configuring Jira, including project setup, task management, and basic customization.
  • Familiarity with the Jira Cloud Migration Assistant.
  • Experience setting up and managing Jira Gov Cloud DVCS integrations with on-prem applications.
  • Understanding and knowledge of Jira Service Management (JSM).
  • Strong verbal and written communication skills and the ability to interact with business and technical personnel at all levels of an organization.
  • Strong observational skills, analytical, and results oriented.
  • Strong problem-solving skills, and a passion to learn.
  • Strong organizational skills.
  • Proficiency using Microsoft Office Suite.

Additional Requirements: Successful completion of a Public Trust background investigation and/or a Public Trust clearance.
Min Citizenship Status Required: Must be a U.S. Citizen
Physical Requirements: No Physical requirement needed for this position