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Full Time Fbi Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... This is a full-time, in-office position. * Design, develop, and maintain ETL/ELT pipelines using ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT ...

Town of Cary, NC

GIS ANALYST

Cary, NC · On-site

$92K - $152K/yr

Regular, Full-Time Job Number: 27-02661 Department: Information Technology Opening Date: 08/28/2026 ... N/A Description Are you ready to turn data into insight and help shape smarter decisions through ...

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Showing results 41-60

All JobsFbi Data Analyst JobsFull Time Fbi Data Analyst JobsFull Time Fbi Data Analyst Jobs in Raleigh, NC

Full Time Fbi Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do full time fbi data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full time fbi data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a full time FBI data analyst?

Full Time FBI Data Analysts are professionals employed by the Federal Bureau of Investigation to collect, process, and interpret data to support investigations and national security efforts. They analyze complex datasets, identify patterns, and provide actionable intelligence to FBI agents and decision-makers. These analysts play a critical role in counterterrorism, cybercrime, organized crime, and other investigative areas. They typically work regular hours but may need to respond to urgent situations or high-priority cases as needed.

What are the key skills and qualifications needed to thrive as a full time FBI data analyst?

To thrive as a Full Time FBI Data Analyst, you need strong analytical skills, attention to detail, and a background in statistics, criminal justice, or a related field, often supported by a relevant degree. Experience with data analysis tools like SQL, Python, Excel, and specialized law enforcement databases is typically required, along with possible security clearances. Critical thinking, discretion, and effective communication are essential soft skills for interpreting complex data and collaborating with investigative teams. These skills and qualities are crucial for producing accurate, actionable intelligence that supports investigations and national security.

What are some common challenges faced by full time FBI data analysts in their daily work?

FBI Data Analysts often handle large volumes of complex data from multiple sources, which can make identifying trends and relevant information challenging. They must ensure data accuracy and security while working under tight deadlines to support ongoing investigations. Collaboration with special agents and other law enforcement personnel is frequent, requiring strong communication skills to translate technical findings into actionable intelligence. Adapting to rapidly evolving technology and analytical tools is also a key part of the role.

What is the difference between Full Time Fbi Data Analyst vs Full Time Fbi Intelligence Analyst?

AspectFull Time Fbi Data AnalystFull Time Fbi Intelligence Analyst
Required CredentialsBachelor's degree in data science, computer science, or related field; often requires security clearanceBachelor's degree in criminal justice, international relations, or related field; security clearance usually required
Work EnvironmentOffice setting, working with large datasets, data analysis toolsOffice environment, analyzing intelligence reports, collaborating with field agents
Employer & Industry UsageFederal government, law enforcement, intelligence communityFederal government, intelligence agencies, law enforcement

While both roles serve the FBI and require security clearance, Full Time Fbi Data Analysts focus on analyzing large datasets to support investigations, whereas Full Time Fbi Intelligence Analysts interpret intelligence reports to assess threats. Both positions are vital to national security but differ in their core functions and daily tasks.

Does the FBI hire data analysts?

Yes, the FBI hires data analysts to support investigations, analyze intelligence, and improve operational efficiency. Candidates typically need a strong background in data analysis, proficiency with tools like SQL and Python, and often require security clearances and relevant education or experience. These roles are usually full-time and may involve working in secure environments with strict confidentiality requirements.

How do I join the full time FBI data analyst team?

To join the FBI as a full-time data analyst, candidates typically need a bachelor's degree in a relevant field such as computer science, statistics, or criminal justice, along with experience in data analysis tools like SQL or Python. Applicants must pass a thorough background check, polygraph, and medical examination, and often need to meet age and citizenship requirements. Federal employment procedures include submitting an application through USAJOBS and completing any required assessments or interviews.
Full Time Fbi Data Analyst jobs near you
Infographic showing various Full Time Fbi Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Data Engineer

Kimley-Horn

Raleigh, NC

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Kimley-Horn rating

8.8

Company rating: 8.8 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

66th of 453 rated engineering

Job description

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with business stakeholders to understand requirements, develop data integration solutions, and support reporting and analytics initiatives.

As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging technologies including Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools.

This is a full-time, in-office position.


  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
  • Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
  • Build and maintain reliable data integrations from internal and external data sources.
  • Partner with business users to gather requirements and translate business needs into technical solutions.
  • Support the design and enhancement of enterprise data models and data architecture.
  • Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
  • Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Contribute to data quality, governance, documentation, and engineering standards.
  • Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality.
  • Continuously learn and evaluate emerging data platform technologies.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
  • 3+ years of professional experience in data engineering or a related technical role.
  • Strong experience with SQL, Microsoft SQL Server and T-SQL development.
  • Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
  • Experience programming with Python.
  • Experience working within Azure cloud environments.
  • Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
  • Working knowledge of Power BI datasets and data modeling concepts.
  • Experience gathering business requirements and working directly with stakeholders.Strong analytical, communication, and problem-solving skills.
  • Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.

Preferred Qualifications:

  • Experience with Microsoft Fabric, Databricks, or Snowflake.
  • Knowledge of enterprise data architecture and data modeling principles.
  • Experience with Azure Data Lake Storage.
  • Familiarity with dimensional modeling and data warehouse concepts.
  • Experience integrating REST APIs and semi-structured data.
  • Interest in AI, advanced analytics, and modern cloud data platforms.

At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it— that’s why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 19 years!

Key Benefits at Kimley-Horn

  • Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
  • Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
  • Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
  • Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
  • Professional Development: Tuition reimbursement and extensive internal training programs.
  • Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.

What Kimley-Horn employees say

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About Kimley-Horn

Sourced by ZipRecruiter

We are a full-service consulting firm that provides a wide range of infrastructure and land development planning and engineering services to both public and private clients. Though we have more than 6,000 employees in 100+ offices, we pride ourselves on our small company feel. At Kimley-Horn, we do things differently. People--clients and employees--are at the forefront of our business. Clients know we are laser-focused on their success. Employees know our culture and approach to business are built on a desire to see our staff flourish, one and all. Both groups know that with Kimley-Horn, they can expect more and experience better.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1967

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