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

NC SECU

Senior Learning Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

Additional 5 years of relevant experience can be considered in lieu of degree. -Data Analytics to ... learning developers. Job Environment & Physical Requirements: -Sitting for prolonged periods ...

SAS

Vice President of Data Analytics

Cary, NC · On-site

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI ... Lead and develop high-performing teams across engineering, architecture, governance, and analytics ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Partner with business stakeholders, analysts, and application teams to clarify data requirements ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

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Showing results 1-20

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 Jul 11, 2026, the average yearly pay for data analytics engineer in Raleigh, NC is $126,095.00, 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.
Senior Product Manager - Agentic Data Analytics

Senior Product Manager - Agentic Data Analytics

Nvidia

Durham, NC • On-site

$122K - $161K/yr

Full-time

Posted 15 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We're redefining analytics for the agentic datacenter, where AI agents plan workflows, discover data, generate queries from natural language, choose execution paths, learn from experience, and orchestrate compute within the datacenter. This new era requires analytics systems that understand user intent and semantic context, handle sophisticated workflows, and route work intelligently across different hardware and systems based on latency, cost, scale, and other metrics depending on business need.

Want to help make this future a reality? We're looking for an outstanding Senior Product Manager to define and drive NVIDIA's strategy for agentic data analytics. You'll identify the right opportunities for NVIDIA to invest in across models, skills, tools, CUDA-X libraries, services, partner integrations, and enterprise go-to-market motions, while keeping an open mind on prioritization as the market evolves rapidly.

What you'll be doing:

  • Define, own, and drive the product strategy for analytics in the agentic datacenter, connecting agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing

  • Engage deeply with customers, ISVs, storage partners, CSPs, and open-source communities to discover underlying needs, owning the voice of the customer and incorporating insights into roadmaps and priorities

  • Establish success metrics and requirements for agentic analytics workflows where latency, throughput, cost, correctness, and infrastructure utilization all matter

  • Collaborate with Engineering, Research, DevRel, Field, and Enterprise teams to create agentic analytics architectures and reference blueprints

  • Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators


What we need to see:

  • BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience

  • 12+ years of product management, technical product strategy, or similar background in data analytics, data/AI infrastructure, or accelerated computing

  • Strong technical proficiency with databases, query engines, SQL, Python, and enterprise data platforms, with the ability to rapidly prototype agentic workflows, build proofs of concept, and get hands-on as a builder

  • Experience building agentic products or workflows for data analytics involving text-to-SQL, semantic layers, enterprise governance and security, iterative improvement cycles, etc.

  • Track record of crafting strategy in ambiguous technical markets, partnering across engineering/research/open-source ecosystems, and communicating value propositions clearly to technical and non-technical audiences

Ways to stand out from the crowd:

  • Experience building evaluation datasets and improving agentic analytics systems across critical factors, including generated query correctness, cost, latency, and failure recovery

  • Familiarity with query optimization and cost estimation, workload orchestration, or production scheduling in distributed data systems

  • Experience translating performance benchmarks, TCO models, or CPU/GPU tradeoffs into product strategy and customer-facing value propositions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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