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

Data Analytics Engineer

Durham, NC

$110K - $132K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

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 ...

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Establish data structures and governance to support AI agents (grounding/citations-ready provenance ... Represent analytics engineering in architecture reviews and governance councils. * Participate in ...

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Establish data structures and governance to support AI agents (grounding/citations -ready ... Represent analytics engineering in architecture reviews and governance councils. * Participate in ...

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Establish data structures and governance to support AI agents (grounding/citations-ready provenance ... Represent analytics engineering in architecture reviews and governance councils. * Participate in ...

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 ...

Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. * Analyze data, synthesize findings ...

Data Engineer

Durham, NC · On-site

$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 ...

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 ...

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 ...

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 ...

The Data Analytics Practice within Duke's Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university ...

The Data Analytics Practice within Duke's Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university ...

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 ...

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Showing results 1-20

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 Jun 19, 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 I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, 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 stock options or bonuses.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 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:
Infographic showing various Data Analytics Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Job Overview

Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion.

Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose - we build for a better society.

Skanska's values -Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life-are deeply engrained in how we work, which is why our values support and drive our D&I efforts.

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses.  The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data.  The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users.

Data Analytics Engineer Required Qualifications:

      • 3+ years of experience data modeling in data warehouses with modern design patterns.
      • 3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL
      • 3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
      • 1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration
      • Bachelor's Degree - Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.

Currently, the company is not considering applicants for this position who now or in the future require employment sponsorship by the company. 

Our Investment in you:

      • We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary on our careers site for more details.
      • As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there's a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
      • At Skanska, we Care for Life. And we're committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
      • We're committed to your success by developing you in your role and supporting your career growth
      • Compensation and financial well-being - Competitive base salary, excellent bonus program, 401k, & Employee ownership program. 

Come work with us and join a winning team!

Apply Today for Immediate Consideration!

Background Check Required

Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.

Skanska Equal Employment Opportunity

Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we're one of the world's largest construction and project development companies. With operations in select markets throughout the Nordics, Europe and the United States, global revenue totaled $15.9 billion in 2024.

Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector's net investments in commercial projects totaled $224 million.

Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.  

Skanska's Applicant Privacy Policy for California Residents

Search Firm and Employment Agency Disclaimer Search Firm and Employment Agency Disclaimer Skanska USA Human Resources ("Skanska HR") provides HR services to the Skanska business units within the U.S.A. including Skanska USA Civil Inc., Skanska USA Building Inc., Skanska USA Commercial Development Inc. and Skanska Infrastructure Development Inc. (collectively "Skanska USA"). As such, Skanska HR is the sole authorized representative of Skanska USA to execute any agreements with search firms, employment agencies or any employment vendor ("Vendor"). As a condition precedent to any entitlement for payment, a Vendor shall have both (1) Skanska USA Placement Agreement, and (2) an Engagement Job Order executed by an authorized Skanska HR representative. Absent the properly executed documents, Skanska HR shall have no obligation to make payment to the Vendor. Verbal or written communications from any employee of Skanska USA business units shall not be considered binding obligations. All resumes whether unsolicited or solicited shall be considered property of Skanska HR.

Primary LocationUS-NC-CharlottePrimary Work Location/AssignmentHybridSkanska Business UnitSkanska USA Inc.Employee StatusFull TimeSalary LowSalary High Employment Type: FULL_TIME