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Data Jobs in Raleigh, NC (NOW HIRING)

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in ...

Element Materials Technology

Data Processor

Raleigh, NC · On-site

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 ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in ...

WCPSS

Data Manager

Raleigh, NC

Overview POSITION TITLE (Oracle title) DATA MANAGER WORKING TITLE Data Manager-Project Enlightenment SCHOOL/DEPARTMENT Project Enlightenment LOCATION 501 S. Boylan Ave., Raleigh, NC PAY GRADE ...

WCPSS

Data Manager

Raleigh, NC

Overview POSITION TITLE (Oracle title) DATA MANAGER WORKING TITLE Data Manager-Project Enlightenment SCHOOL/DEPARTMENT Project Enlightenment LOCATION 501 S. Boylan Ave., Raleigh, NC PAY GRADE ...

North Carolina Jobs

Data Manager

Raleigh, NC · On-site

Selects data from varied sources, and summarizes information for standard reports, including preparing reports for submission to building administrators, school system administrators and The State ...

Towne Bank

Data Engineer

Raleigh, NC

$111K - $133K/yr

The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking functions. You ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Vulcan Elements

Data Engineer

Durham, NC

$110K - $132K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful -- first at pilot scale, and then as the foundation for a 10,000 ton ...

Sennos

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building ...

Vulcan Elements

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

As the Data Engineer, you will design and build the data infrastructure that makes Vulcan's operational and business data useful -- first at pilot scale, and then as the foundation for a 10,000 ton ...

GEI Consultants

Data Engineer

Cary, NC

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Kanak Elite Services Inc

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Data Engineer Location : Raleigh, NC Onsite (Must be local) Duration : 12+ Months Description We have some urgent requirements with at least 5 years' experience as Data Engineer for the development ...

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Showing results 1-20

All JobsData JobsData Jobs in Raleigh, NC

Data information

See Raleigh, NC salary details

$44.7K

$160.2K

$236.4K

How much do data jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data in Raleigh, NC is $160,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $165,100.00 per year, depending on experience, location, and employer.

What jobs are in data?

Jobs in data include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and often involve analyzing large datasets to support business decisions.

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 jobs pay 200,000 a year in the USA?

In the data field, roles such as data scientists, data engineers, and analytics managers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming and machine learning, and working in high-demand industries. Executive positions like Chief Data Officer or senior data leadership roles also typically reach or exceed this salary level. These roles often require advanced degrees, certifications, and a strong track record of project success.

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 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 managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

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 jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include roles such as senior corporate executives, investment bankers, specialized surgeons, and successful entrepreneurs. These positions often require advanced degrees, extensive experience, and specialized skills, and may involve long hours and high levels of responsibility.
More about Data jobs
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 are popular job titles related to Data jobs in Raleigh, NC? For Data jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data jobs in Raleigh, NC look for? The top searched job categories for 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 jobs near you
Infographic showing various Data job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $160,235 per year, or $77 per hour.
Data Scientist

Data Scientist

Advance Auto Parts, Inc.

Raleigh, NC • On-site, Remote

Full-time

Posted 28 days ago

Job description

Job Description
Role Summary
We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.
This role is a hybrid work model (4 days in office, 1 day work from home) based out of our corporate headquarters located in Raleigh, NC
Key Responsibilities
  • Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
  • Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes.
  • Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc.
  • Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation,
  • Own ML Platform: Stand up and operate core platform components-model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
  • Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events.
  • Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
  • Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
  • Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
  • Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

Required Qualifications
  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred.
  • Programming: 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker.
  • ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
  • Pipelines & Orchestration: 5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis.
  • Cloud Foundations: 3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. GCP experience is preferred.
  • Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark.
  • CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
  • Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices.
  • Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
  • Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
  • Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.
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https://jobs.advanceautoparts.com/us/en/disclosures
Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

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