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Data Analytics Engineer Jobs in Raleigh, NC (NOW HIRING)

GRAIL

Data Analytics Engineer 1 # 4878

Durham, NC · On-site +1

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... For more information, please visit grail.com The Data Analyst 1 contributes to the organization ...

CAPTRUST

Analytics Engineer

Raleigh, NC

This position is ideal for a data professional with deep dbt expertise, strong SQL skills, and a passion for data modeling who can partner closely with Data Engineers, Data Analysts, and business ...

CAPTRUST

Analytics Engineer

Raleigh, NC · On-site

This position is ideal for a data professional with deep dbt expertise, strong SQL skills, and a passion for data modeling who can partner closely with Data Engineers, Data Analysts, and business ...

Avison Young

Senior Analytics Engineer

Raleigh, NC · On-site

$93K - $120K/yr

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused ...

Munich Re

Technical Architect - Data, Analytics & AI

Durham, NC · Hybrid

$61.50 - $79.25/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Munich Re

Technical Architect - Data, Analytics & AI

Cary, NC · Hybrid

$59 - $76/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Raleigh, NC

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Raleigh, NC

Data Analytics Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data analytics engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data analytics engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Raleigh, NC? The most popular types of Data Analytics Engineer jobs in Raleigh, NC are:
What are popular job titles related to Data Analytics Engineer jobs in Raleigh, NC? For Data Analytics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Raleigh, NC look for? The top searched job categories for Data Analytics Engineer jobs in Raleigh, NC are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Analytics Engineer 1 # 4878

GRAIL

Durham, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
 
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
 
For more information, please visit grail.com

The Data Analyst 1 contributes to the organization's analytical capabilities by applying foundational professional judgment and technical skills to collect, prepare, and analyze structured and unstructured data. This role supports the development of analytical methods, reports, and visualizations that translate data into meaningful insights for business decision-making. It operates with growing independence in interpreting data requirements, applying analytical techniques, and ensuring the accuracy and consistency of information used by cross-functional partners. The position builds proficiency in industry-standard tools, data models, and analytical practices that enable the delivery of high-quality, insight-driven outputs.

This role is based at our Durham, North Carolina, office and offers a flexible working arrangement. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site.

Responsibilities:
  • Collects, transforms, and validates data from diverse sources, applying professional analytical techniques to ensure accuracy and reliability.
  • Performs exploratory and descriptive analysis to identify trends, patterns, and key performance drivers for business stakeholders.
  • Develops and maintains reports, dashboards, and visualizations that communicate analytical findings in a clear and actionable manner.
  • Interprets data requirements, collaborates with business partners, and applies professional judgment to structure analyses that meet defined objectives.
  • Documents analytical logic, data sources, and methodologies to support transparency, reproducibility, and continuous improvement.
  • Supports cross-functional initiatives by providing data-driven insights and contributing to analytical problem-solving efforts.
  • Identifies and recommends opportunities to streamline analytical workflows, standardize reporting, or enhance data quality.
  • Builds proficiency in analytics tools, data modeling concepts, and best practices to expand analytical independence and effectiveness.
Required Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, or related discipline with 0-2 years of relevant experience.
  • Demonstrated ability to collect, organize, and analyze data with attention to accuracy and detail.
  • Experience preparing reports, dashboards, or visualizations using Excel or introductory business intelligence tools.
  • Basic proficiency with SQL, Python, R, or comparable analytical tools.
  • Strong critical thinking and problem-solving skills in a data-driven environment.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Interest in learning new data analysis techniques and technologies to support business insights.
  • Demonstrated level of knowledge regarding applicable regulatory standards commensurate with the position's complexity and scope, contributing to organizational regulatory compliance. Minimal applicable standards for this position will vary depending on the part of GRAIL's organization the role will support.  
    • GMP quality management systems (e.g. ISO 13485)
    • Clinical laboratory regulations (e.g. CAP, CLIA, NYSDOH, ISO 15189)
    • Protected health information (e.g. HIPAA, GDPR)
    • Operations within the regulated medical device environment (e.g. IVDD, IVDR, FDA 21 CFR 800 series, FDA 21 CFR Part 11)
    • Development and Operations within a regulated clinical study environment (e.g.  ICH E6 (GCP), ISO 20916, FDA 21 CFR Part 11, Part 50, Part 54, Part 56)
  • Strong analytical and quantitative skills with the ability to interpret and communicate data findings clearly.
  • Proficiency with Excel and exposure to analytical tools such as SQL, Python, R, or Power BI/Tableau.
  • Basic understanding of data structures, relational databases, and data visualization principles.
Preferred Qualifications:
  • Attention to detail with a focus on data accuracy and integrity.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Effective written and verbal communication skills for presenting data insights to non-technical audiences.
  • Collaborative mindset with an eagerness to learn from experienced colleagues and contribute to team success.
Physical Demands and Work Environment:
  • Standard office environment with hybrid work model.
  • Occasional meetings across time zones may be required.
The expected, full-time, annual base pay scale for this position is $86K - $106K.  Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
 
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
 
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
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