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Analytics Engineer Jobs in Raleigh, NC (NOW HIRING)

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

About Sennos Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and ... Position Summary The Data Engineer sits within the Data & Analytics organization and supports the ...

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 ...

ShiftCode Analytics

Cisco Engineer

Cary, NC · On-site

Monitor, analyze, and fine-tune network performance using tools such as Corvil, Wireshark, and IXIA ... Required Skills & Experience: * 7-10 years of experience in network engineering with a focus on ...

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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

GenAI Python Systems Engineer-Manager

Raleigh, NC

$99K - $232K/yr

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 ...

Amgen

Process Analytical Engineer

Holly Springs, NC

... analytics where applicable. * Lead investigations of abnormal conditions through Deviation and ... The engineering professional weseekenjoys challenges and is motivated to help serve patients with ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Raleigh, NC

Analytics Engineer information

See Raleigh, NC salary details

$60.4K

$105.5K

$172.1K

How much do analytics engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for analytics engineer in Raleigh, NC is $105,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,776.00 and $118,405.00 per year, depending on experience, location, and employer.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Raleigh, NC? For Analytics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Raleigh, NC look for? The top searched job categories for Analytics Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Analytics Engineer jobs? Cities near Raleigh, NC with the most Analytics Engineer job openings:
Analytics Engineer jobs near you

Cybersecurity Engineer (40648)

Talent Management Plus, Inc.

Raleigh, NC • Remote

Other

Posted 3 days ago

Job description

Position: Cybersecurity Engineer (40648)
Location: Remote
Description:
This role is to support cybersecurity roadmap, and contribute to the delivery of secure systems, cyber solutions, cyber applications, technical projects and regulatory and risk requirements. This includes cybersecurity framework, engineering new technologies, program optimization, vulnerability remediation, metrics reporting, performance analysis and mitigation of operational risk in a high velocity culture.
Responsibilities:
  • Support complex Cybersecurity project work efforts
  • Perform advanced analyses
  • Collaborate with Business Technology/Business/Audit teams on roadmaps and projects
  • Create documentation/reports and investigate cases
  • Engineer solutions to advance the Cyber roadmaps,
  • Remediate risk and offer solutions to BT teams and coordinate implementing the solutions or apply Standards/Audits requirements to ensure security infrastructure and solutions/technologies implementation comply.

Required Skills:
  • 5-10 years of cybersecurity engineering/architecting experience
  • Bachelor's Degree in Technology field
  • Palo Alto Networks Firewall experience
  • Experience managing security in a cloud architecture (AWS, GCP)
  • Must have strong knowledge of IDS/IPS platforms
  • Ability to identify opportunities and build automated functionality including scripting (Python, PowerShell, Ansible, XSOAR)
  • Cisco ASA/FirePower knowledge
  • Containerization experience (Docker, Kubernetes)
  • Routing Protocols (BGP, OSPF)
  • Network Traffic Analysis
  • DevOps experience a plus
  • Certifications a PLUS
    • CISSP (Certified information Systems Security Professional)
    • CEH (Certified Ethical Hacking)
    • GSEC (Global Information Security Essentials)
    • PCNSA (Palo Alto Networks Certified Network Security Administrator)
    • PCNSE (Palo Alto Networks Certified Network Security Engineer)

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