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Data Jobs in Springfield, OR (NOW HIRING)

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Data Engineer

Eugene, OR · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Purpose The BI (Business Intelligence) Data Engineer will be responsible for designing, administering, implementing, and maintaining an enterprise business intelligence platform. Your mission is to ...

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Description Purpose The BI (Business Intelligence) Data Engineer will be responsible for designing, administering, implementing, and maintaining an enterprise business intelligence platform. Your ...

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Eugene, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Data information

See Springfield, OR salary details

$47.6K

$170.8K

$252K

How much do data jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data in Springfield, OR is $170,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 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 Springfield, OR? The most popular types of Data jobs in Springfield, OR are:
What cities near Springfield, OR are hiring for Data jobs? Cities near Springfield, OR with the most Data job openings:
Infographic showing various Data job openings in Springfield, OR as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $170,799 per year, or $82.1 per hour.
Data Processor

Full-time

Posted 26 days ago


Element Materials Technology rating

7.3

Company rating: 7.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

60th of 105 rated laboratories


Job description

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

What Element Materials Technology employees say

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