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

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 ...

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 ...

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 ...

Application areas involve data analytics, machine learning, probabilistic modeling, intelligent systems, and software systems supporting these methods. The engineer/scientist will join a multi ...

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 ...

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 ...

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 ...

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone ...

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Data Analyst

Cary, NC · On-site

$28/hr

Provide proactive status updates on active projects and maintain a current view of the overall analytics portfolio. Collaborate with data engineers, process owners, Finance, IT, and other ...

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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 22, 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.

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.

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 infrastructure 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 develop insights and reports.

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 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:

Infographic showing various Data Analytics Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

Analytics Engineer

CAPTRUST

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

WHO are we looking for?

CAPTRUST is seeking an Analytics Engineer to design, build, and maintain analytics-ready data models that enable trusted reporting, self-service analytics, and downstream decision-making across the firm. This role owns the dbt analytics transformation layer and dbt project stewardship, and partners with Data Engineering on upstream pipelines and data shaping to ensure analytics-ready inputs. This role serves as the connective tissue between raw data engineering outputs and business-facing analytics by translating business concepts into well-modeled, well-documented dbt assets. 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 stakeholders to deliver reliable, scalable analytical data products.


  • Owns end-to-end stewardship of the dbt project, including model organization, naming conventions, testing strategy, documentation standards, and ongoing refactoring to keep the project healthy and scalable
  • Owns the analytics transformation layer and its production reliability, including build/deploy routines, dependency management, and monitoring/triage of model and test failures in partnership with Data Engineering
  • Owns the definition and implementation of analytics-ready business logic (e.g., conformed dimensions, facts, and shared metrics) and drives upstream data shaping requirements with Data Engineers to ensure source data supports agreed analytical needs
  • Design, build, and maintain analytics-ready data models in dbt that translate business requirements into clear, performant, and trusted analytical structures
  • Collaborate with Data Quality Analysts to embed data quality rules, validation logic, and testing directly into dbt models
  • Apply dimensional and analytical modeling best practices (e.g., star schemas, facts and dimensions, grain alignment) to support reporting and metrics consistency
  • Work with business stakeholders and data analysts to understand reporting needs and codify logic in reusable models
  • Own dbt documentation quality and completeness, including model descriptions, lineage, business context, and assumptions, to support discovery and trust
  • Support the evolution of shared metric definitions in partnership with semantic and governance functions, ensuring consistency across analytics and reporting
  • Participate in analytics development processes, including code reviews, testing, and deployment workflows

Minimum Qualifications:

  • Bachelor’s degree in data analytics, computer science, information systems, or a related field (or equivalent professional experience).
  • 5+ years of experience in analytics engineering, business intelligence, data engineering, or a closely related role.
  • Advanced proficiency in SQL, including complex transformations, aggregations, and windowing logic.
  • Strong hands-on experience with dbt, including model development, refactoring, documentation, sources, and tests.
  • Solid understanding of analytical data modeling concepts and best practices.
  • Ability to translate business concepts into structured, analytics-ready data models.
  •  Strong communication skills, with the ability to explain data logic in business terms.

Desired Qualifications/Skills:

  • Experience working in a modern analytics stack (e.g., cloud data warehouse, dbt, BI tools).
  • Familiarity with Microsoft Fabric, Power BI semantic models, or similar analytics platforms.
  • Experience partnering closely with Data Engineers and Data Quality roles in a team-based analytics delivery model.
  • Exposure to data governance concepts such as definitions, lineage, stewardship, and certified metrics.
  • Comfort operating in environments with evolving requirements and helping bring clarity through modeling standards
  •  High standard of professionalism, integrity, and accountability.

WHAT can you expect from your career at CAPTRUST?

Our colleagues, like our clients, tend to stay with CAPTRUST for years. There’s a reason for it; it’s a great culture in which to work and grow. We all work together, each of us motivating those around us with our commitment to high standards. At CAPTRUST, expect a fully stocked break room, fun employee events, and a quality team surrounding you with opportunities for personal growth.

Our Employee Benefits Package shows how much we value our team. Some benefits include:

  • Company discretionary bonus.
  • Health, dental, and vision coverage, employer 401(k) plan and company match, health savings accounts, flexible spending accounts, and voluntary supplemental plans subject to plan terms
  •  Company-paid benefits such as life insurance, short-term disability, and long-term disability, subject to applicable waiting periods.
  • Paid time off (PTO) or Paid Sick Leave (PSL)

WHERE will you be working?

4208 Six Forks Rd #1700 | Raleigh, NC 27609

Due to the nature of the role, this is not a remote or work from home position. #LI-Onsite

HOW do we build a world class organization one brick at a time?

We make it a priority to hire those who have a commitment to service, a real interest in other people, and a passion to continuously improve. Simply put: the difference at CAPTRUST is the quality of our people and depth of our bench. If you are ready to make your mark, we want to talk to you.

Are you the next brick?

To get it done the CAPTRUST Way, an individual should exhibit the following characteristics:

  • Ability to build successful, collaborative, and trusting relationships
  • Instinctive aptitude for consistently creating accurate, concise, respectful, and easy-to-understand verbal and written communications conveying complex information
  •  A strong sense of urgency about getting work done and solving problems to achieve results that benefit our clients and colleagues, even when faced with challenges
  • Inherent desire to give back to our communities and enrich the lives of those around us
  • An other-centered mindset
  •  Integrity through maintaining objectivity

EEO/Diversity Statement:

At CAPTRUST, we are committed to building and maintaining a diverse workforce and inclusive work environment where ALL colleagues feel authentically seen, respected, and supported.

It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of sex (including pregnancy, childbirth, or other related medical conditions), gender, race (including hair texture or hairstyles associated with race), religion, color, national origin, ancestry, physical or mental disability, genetic information, age, sexual orientation, gender identity, gender expression, protected veteran status, uniformed service, or any other status protected by federal, state, or local laws.#mid-senior

This position will remain open until filled.