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Data Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Raleigh, NC · On-site

$111K - $133K/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 ...

Principal Data Modeler

Durham, NC · On-site

$53 - $68.50/hr

Creates and delivers data mapping specifications and data models for large reporting platforms, using Oracle, Hadoop, Postgres, and Microsoft SQL Server. Creates new data models and software ...

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Creates and delivers data mapping specifications and data models for large reporting platforms, using Oracle, Hadoop, Postgres, and Microsoft SQL Server. Creates new data models and software ...

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

Onsite (No Remote) Seeking an experienced Data Modeler Engineer to design and implement enterprise-grade data models supporting large-scale Snowflake and Data Warehouse modernization initiatives ...

Data Engineer

Durham, NC · On-site

$68/hr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Data Strategy-Manager

Raleigh, NC · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

The Housing Data Analyst works within the Research, Data, and Systems (RDS) division within Wake County's Department of Housing Affordability and Community Revitalization (HACR) . This role ...

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join our team. This 12-month program is available exclusively to 2026 graduates of Duke University ...

NC, SC The Enterprise Data Analyst serves as a key liaison between business and technology teams, providing analytical expertise, defining data requirements, and ensuring accuracy and consistency ...

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that ...

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that ...

The Housing Data Analyst works within the Research, Data, and Systems (RDS) division within Wake County's Department of Housing Affordability and Community Revitalization (HACR) . This role ...

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate student assistants) helps students and other researchers develop critical data science and visualization ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides ...

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join our team. This 12-month program is available exclusively to 2026 graduates of Duke University ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how ...

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Showing results 1-20

Data information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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 Raleigh, NC? The most popular types of Data jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data jobs? Cities near Raleigh, NC with the most Data job openings:

Data Engineer

Bespoke Labs

Raleigh, NC • On-site

$111K - $133K/yr

Full-time

Posted 28 days ago


Job description

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 trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines