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Data Work Jobs (NOW HIRING)

Work directly with client and internal stakeholders to understand and document requirements and translate them into report/dashboard design. * As a part of the data analytics development process ...

Work directly with client and internal stakeholders to understand and document requirements and translate them into report/dashboard design. * As a part of the data analytics development process ...

Data Engineer Principal

Bloomington, MN · On-site

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

We work onsite 4+ days a week, with our team based in Auburn Hills, Michigan, and Juneau, Wisconsin ... As Head of Data, ML & Business Intelligence, you will organize and lead Whisker's centralized data ...

The software we build supports the lien resolution work we perform on behalf of law firms, helping ... The Data & Analytics Manager will lead the foundational data work powering our Mass Torts and ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Ideal candidates can start work in Irvine, CA and are open to being based out of San Dimas, CA by 2027. General Responsibilities: * Design, build and maintain data architectures, integrations and ...

Work with vast amounts of data in new and evolving environments. Be a part of growing and developing our brand in new and emerging markets. Leverage analytics to create a customer experience above ...

Work with vast amounts of data in new and evolving environments. Be a part of growing and developing our brand in new and emerging markets. Leverage analytics to create a customer experience above ...

Work with vast amounts of data in new and evolving environments. Be a part of growing and developing our brand in new and emerging markets. Leverage analytics to create a customer experience above ...

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Data Work information

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$46K

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$243.5K

How much do data work jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data work in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data worker do?

A data worker collects, organizes, and analyzes data to support decision-making and business operations. They often use tools like spreadsheets, databases, and data analysis software, and may need skills in data cleaning, management, and basic statistical analysis.

What are some common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data work often encounter challenges such as managing large volumes of unstructured data, ensuring data quality, and collaborating across teams with varying levels of technical expertise. Addressing these challenges requires strong organizational skills, the ability to communicate findings clearly to both technical and non-technical stakeholders, and a commitment to continuous learning as tools and best practices evolve. Building relationships with colleagues in IT, analytics, and business units can also help streamline workflows and improve data accuracy.

How can I make 2000 a week working from home?

Data work roles such as data analyst, data entry, or data scientist can offer remote opportunities that, with experience and specialized skills, potentially generate $2000 or more weekly. Achieving this income typically requires advanced skills, certifications, or working on high-paying projects, often involving freelance platforms or direct client contracts.

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

To excel in Data Work, you need strong analytical abilities, attention to detail, and a solid background in mathematics or statistics, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Excel, and visualization platforms like Tableau or Power BI, as well as familiarity with programming languages like Python or R, is typically required. Effective communication, problem-solving, and collaboration skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring accurate data interpretation, driving informed decisions, and delivering value in data-driven environments.

What job makes $10,000 a month without a degree?

In data-related fields, roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month with relevant skills and experience. These jobs often require proficiency in tools like SQL, Python, or R, and may involve remote work or flexible schedules.

What are the careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, database administrator, and business intelligence analyst. These positions typically require skills in programming, statistics, and data visualization tools, and often involve working with large datasets and data management systems.

What is the difference between Data Work vs Data Analysis?

AspectData WorkData Analysis
Required CredentialsOften includes certifications like Microsoft Excel, SQL, or basic data management coursesTypically requires a degree in statistics, mathematics, or related fields, along with analytical certifications
Work EnvironmentData management, data entry, database maintenance, and data cleaning tasksInterpreting data, creating reports, and deriving insights from datasets
Employer & Industry UsageUsed across industries for data organization and maintenanceCommonly employed in business, finance, marketing, and research for decision-making

Data Work involves managing and maintaining data systems, focusing on data entry and organization. Data Analysis centers on interpreting data to generate insights and support business decisions. While both roles require familiarity with data tools, Data Work emphasizes data management skills, whereas Data Analysis emphasizes analytical and interpretative skills.

What is data work?

Data work refers to the process of collecting, organizing, analyzing, and interpreting data to help organizations make informed decisions. It can include tasks like data entry, data cleaning, database management, and data analysis. People who do data work may use software tools such as Excel, SQL, or specialized analytics programs to process and visualize information. Effective data work is essential in various industries, including business, healthcare, finance, and research.
What cities are hiring for Data Work jobs? Cities with the most Data Work job openings:
What states have the most Data Work jobs? States with the most job openings for Data Work jobs include:
Infographic showing various Data Work job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 73% Full Time, 10% Part Time, and 14% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Nuclear Data Scientist

Nuclear Data Scientist

Idaho National Laboratory

Idaho Falls, ID • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

12th of 103 rated laboratories


Job description

At Idaho National Laboratory, you'll analyze data and generate results across cloud, on-premises, and edge-based computational architectures, apply technologies including explainable AI, large language models, and physics-informed machine learning, and develop software including 3D visualization tools, parallel software, and web API solutions in support of research objectives. You'll work with domain experts to understand the scope of questions data can answer, design output metrics that describe system behavior, collaborate with government agencies, academia, and industry partners, and publish results in peer-reviewed journals and conference proceedings.

Essential Job Functions and Responsibilities:

  • Apply nuclear engineering domain knowledge to identify opportunities for machine learning and data-driven analysis within nuclear systems, operations, or research programs.
  • Support the development, validation, and interpretation of ML models and data pipelines in the context of nuclear applications.
  • Collaborate with data science teams to translate nuclear engineering requirements into analytical frameworks.
  • Assist in the evaluation of model outputs using nuclear domain expertise to ensure physical accuracy and operational relevance.
  • Contribute to technical documentation, reports, and presentations related to ML-assisted nuclear engineering efforts.
  • Lead efforts in writing journal articles, conference proceedings, etc.
  • Ability to coherently present complex materials to a wide audience.
  • Work under general supervision on defined tasks with moderate complexity.
  • Analyze data and generate results in response to data analytics, visualization, and modeling needs on a variety of computational architectures (cloud, on-premises, edge-based).
  • Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and/or data sensor fusion methodologies.
  • Work with a multi-disciplinary team of scientists and engineers on challenging work scopes.
  • Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, academia, and private sector companies to achieve project goals.
  • Publish results of research and development in a mix of refereed publications and conference proceedings.
  • Work effectively with other research teams to develop and manage cross-cutting technical programs for a variety of customers.
  • Develop and maintain notebooks, software, and/or applications.
  • Work with software and database developers to develop, test, and deploy software code to development, staging, and production environments.
  • Develop software for custom solutions, including but not limited to, 3D visualization tools, parallel software, batch scripting, and web API interaction/development.
  • Analyze data quality, characterize, and communicate data quality issues to data providers, and design repeatable data processing procedures to accurately analyze data in the presence of quality issues.
  • Work with domain experts to understand the scope and limits of questions that can be answered by data sets, identify key data features as inputs to analysis, and design output metrics that elegantly describe system attributes and behavior.
  • Employ specialized methods and state-of-the-art data analysis and modeling tools to support INL's mission by ensuring the nation's safe, competitive, and sustainable use of engineered systems in many domains by applying capabilities to impactful issues in risk, reliability, and operational performance.
  • Adhere to INL policies and lab-wide procedures related to software development, cybersecurity, and management of sensitive information and data.
  • Work with data providers, database administrators, and software developers to diagnose and solve problems with data and software systems quickly and effectively.


 

Required:

  • Level 2: An advanced degree in data science, nuclear engineering, or related technical discipline.
  • Working familiarity with machine learning concepts, data analysis tools, or scientific computing (e.g., Python, R).
  • Ability to interpret and communicate data-driven results within a nuclear engineering context
  • This position requires the ability to obtain and maintain a DOE level 'Q' clearance, requires US Citizenship.


 

The ideal candidate will possess:

  • Master's degree (with 3+ years of experience) or PhD degree (with 0+ years) in Nuclear Engineering or closely related field
  • Experience with nuclear simulation codes (e.g., MCNP, SCALE, RELAP, MOOSE).
  • Exposure to supervised/unsupervised learning techniques or data visualization tools.
  • Ph.D. in Nuclear Engineering or related discipline.
     


 

Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Information:

We are seeking a Level 2 Nuclear Engineer with expertise in connecting nuclear engineering concepts with data science and machine learning tools. The ideal candidate is first and foremost a nuclear engineer with working knowledge of data science methodologies beneficial; someone who can bridge the gap between nuclear domain expertise and computational analysis without needing to be a dedicated data scientist. Our team works a 9x80 schedule located out of our Research and Education Campus in Idaho Falls with every other Friday off. 

  • The pay range for this position is $79,344 - $162,732. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.

Benefits and Relocation

  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements:

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

Equal Employment Opportunity:

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information:

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

Sourced by ZipRecruiter

Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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