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Data Analytics Internship Jobs in Decatur, AL (NOW HIRING)

... Data Analytics, and Infrastructure, contributing meaningfully to architecture decisions ... technical role (internship and academic project experience considered) Technical Skills:

AI/ML Engineer

Huntsville, AL · On-site

$100K - $130K/yr

... Data Analytics, and Infrastructure, contributing meaningfully to architecture decisions ... technical role (internship and academic project experience considered) Technical Skills:

... Data Analytics, and Infrastructure, contributing meaningfully to architecture decisions ... technical role (internship and academic project experience considered) Technical Skills:

Entry Level Analytical Chemist

Huntsville, AL

$21.25 - $28.50/hr

Analyze experimental data, prepare clear reports and findings for multiple teams. * Troubleshoot ... At least one year of hands-on laboratory experience, through academic research, internships, or ...

Engineering Co-Op

Huntsville, AL · On-site

$15.50 - $20.25/hr

... data collection, analysis, and reporting Participating in customer demonstrations, product ... This is more than an internship. It's an opportunity to gain practical engineering experience ...

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Data Analytics Internship information

See Decatur, AL salary details

$11

$21

$39

How much do data analytics internship jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data analytics internship in Decatur, AL is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.98 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
What job categories do people searching Data Analytics Internship jobs in Decatur, AL look for? The top searched job categories for Data Analytics Internship jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Data Analytics Internship jobs? Cities near Decatur, AL with the most Data Analytics Internship job openings:
AI/ML SOFTWARE ENGINEER

Full-time

Posted 15 days ago


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is hiring an AI/ML Software Engineer in Huntsville, AL.

This is a hands-on engineering position suited for early-career professionals who are eager to grow technically in a fast-moving environment. The employee will work within a dedicated AI and Automation team and collaborate closely with cross-functional teams spanning Software Development, Data Analytics, and Infrastructure, contributing meaningfully to architecture decisions, development work, and deployment operations from day one. The ideal candidate brings a strong foundation in AI/ML concepts, modern software development practices, and the adaptability to work across frontend, backend, and infrastructure as needed.Responsibilities AI/ML Development and Integration Develop and integrate AI/ML capabilities into mission-focused web applications, including large language model (LLM) integration, retrieval-augmented generation (RAG) pipelines, and intelligent automation workflows Assist in the design and implementation of data ingestion, embedding, vector search, and model serving pipelines Support prompt engineering, model evaluation, and performance tuning for deployed AI features Research and prototype emerging AI/ML tools, frameworks, and techniques to identify opportunities for mission improvement Support the design and development of agentic AI systems, including autonomous agents capable of multi-step planning, tool use, and orchestrated task execution within mission workflows Full-Stack Application Development Build and maintain web application features using modern frontend frameworks (e.g., React, TypeScript) and backend frameworks (e.g., Python, FastAPI) Design and implement RESTful APIs and contribute to database design and query optimization (e.g., PostgreSQL) Write clean, testable, and well-documented code following team coding standards and established design patterns Participate in code reviews, sprint planning, and collaborative development within an Agile workflow CI/CD and DevSecOps Contribute to the development and maintenance of CI/CD pipelines for automated testing, security scanning, and deployment Support containerized application builds and deployments using Docker and container orchestration platforms (e.g., Kubernetes) Assist with static application security testing (SAST) integration and remediation of findings within the development pipeline Help maintain and improve infrastructure-as-code configurations and deployment automation scripts Collaboration and Communication Collaborate with the AI and Automation team to plan, estimate, and deliver work in iterative development cycles Document technical designs, implementation decisions, and operational procedures for team and stakeholder reference Support demonstrations, briefings, and technical reviews for program leadership and government stakeholders Required Qualifications Education Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, or a closely related technical field Experience Professional experience in software development, AI/ML engineering, or a related technical role (internship and academic project experience considered) Technical Skills Proficiency in Python and at least one modern web development language or framework (e.g., JavaScript/TypeScript, React) Foundational understanding of AI/ML concepts, including natural language processing (NLP), large language models (LLMs), embeddings, and vector search Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and RESTful API design Familiarity with version control systems (Git) and collaborative development workflows (branching strategies, merge requests, code reviews) Basic understanding of containerization (Docker) and container orchestration concepts (Kubernetes) Familiarity with CI/CD pipeline concepts and at least one CI/CD platform (e.g., GitLab CI/CD, GitHub Actions, Azure DevOps, Jenkins) Exposure to at least one cloud platform (AWS, Microsoft Azure, or Google Cloud) and general understanding of cloud-native application architecture Security Clearance Active Secret security clearance Certification Must obtain CompTIA Security+ certification (or equivalent DoD 8570/8140 baseline certification) within 30 days of start date Work Environment On-site position at a U.S

government facility in Huntsville, AL Small, collaborative team environment with direct mentorship from senior engineers Opportunity to contribute to meaningful mission outcomes through hands-on engineering of AI-driven solutions Fast-paced environment where you will be encouraged to learn, experiment, and grow your technical capabilities Preferred Qualifications Education Bachelor's degree with a concentration or specialization in Artificial Intelligence or Machine Learning Relevant graduate coursework or a Master's degree in AI/ML, Computer Science, or a related field Experience and Skills Experience building or contributing to RAG (retrieval-augmented generation) architectures or LLM-powered applications Hands-on experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, or TensorFlow Exposure to agentic AI concepts and frameworks, including multi-agent orchestration, tool-use patterns, and autonomous task execution (e.g., LangGraph, CrewAI, AutoGen, or similar) Experience with FastAPI, Flask, or Django for building backend services Experience with React, Next.js, or similar component-based frontend frameworks and UI libraries (e.g., Material UI) Familiarity with SAST tools (e.g., Semgrep, SonarQube, Bandit) and secure software development practices Experience with Kubernetes (e.g., GKE, EKS, AKS) in a development or deployment capacity Exposure to infrastructure-as-code tools (e.g., Terraform, Helm) or GitOps workflows Experience developing or deploying applications within U.S. government or Department of Defense IT environments Familiarity with FedRAMP, IL4/IL5, or CMEK compliance concepts in cloud environments Certifications (any of the following are a plus) AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect - Associate Google Cloud Professional Machine Learning Engineer or Google Cloud Associate Cloud Engineer Microsoft Certified: Azure AI Engineer Associate or Azure Developer AssociateResponsibilities AI/ML Development and Integration Develop and integrate AI/ML capabilities into mission-focused web applications, including large language model (LLM) integration, retrieval-augmented generation (RAG) pipelines, and intelligent automation workflows Assist in the design and implementation of data ingestion, embedding, vector search, and model serving pipelines Support prompt engineering, model evaluation, and performance tuning for deployed AI features Research and prototype emerging AI/ML tools, frameworks, and techniques to identify opportunities for mission improvement Support the design and development of agentic AI systems, including autonomous agents capable of multi-step planning, tool use, and orchestrated task execution within mission workflows Full-Stack Application Development Build and maintain web application features using modern frontend frameworks (e.g., React, TypeScript) and backend frameworks (e.g., Python, FastAPI) Design and implement RESTful APIs and contribute to database design and query optimization (e.g., PostgreSQL) Write clean, testable, and well-documented code following team coding standards and established design patterns Participate in code reviews, sprint planning, and collaborative development within an Agile workflow CI/CD and DevSecOps Contribute to the development and maintenance of CI/CD pipelines for automated testing, security scanning, and deployment Support containerized application builds and deployments using Docker and container orchestration platforms (e.g., Kubernetes) Assist with static application security testing (SAST) integration and remediation of findings within the development pipeline Help maintain and improve infrastructure-as-code configurations and deployment automation scripts Collaboration and Communication Collaborate with the AI and Automation team to plan, estimate, and deliver work in iterative development cycles Document technical designs, implementation decisions, and operational procedures for team and stakeholder reference Support demonstrations, briefings, and technical reviews for program leadership and government stakeholders Required Qualifications Education Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, or a closely related technical field Experience Professional experience in software development, AI/ML engineering, or a related technical role (internship and academic project experience considered) Technical Skills Proficiency in Python and at least one modern web development language or framework (e.g., JavaScript/TypeScript, React) Foundational understanding of AI/ML concepts, including natural language processing (NLP), large language models (LLMs), embeddings, and vector search Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and RESTful API design Familiarity with version control systems (Git) and collaborative development workflows (branching strategies, merge requests, code reviews) Basic understanding of containerization (Docker) and container orchestration concepts (Kubernetes) Familiarity with CI/CD pipeline concepts and at least one CI/CD platform (e.g., GitLab CI/CD, GitHub Actions, Azure DevOps, Jenkins) Exposure to at least one cloud platform (AWS, Microsoft Azure, or Google Cloud) and general understanding of cloud-native application architecture Security Clearance Active Secret security clearance Certification Must obtain CompTIA Security+ certification (or equivalent DoD 8570/8140 baseline certification) within 30 days of start date Work Environment On-site position at a U.S. government facility in Huntsville, AL Small, collaborative team environment with direct mentorship from senior engineers Opportunity to contribute to meaningful mission outcomes through hands-on engineering of AI-driven solutions Fast-paced environment where you will be encouraged to learn, experiment, and grow your technical capabilities Preferred Qualifications Education Bachelor's degree with a concentration or specialization in Artificial Intelligence or Machine Learning Relevant graduate coursework or a Master's degree in AI/ML, Computer Science, or a related field Experience and Skills Experience building or contributing to RAG (retrieval-augmented generation) architectures or LLM-powered applications Hands-on experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, or TensorFlow Exposure to agentic AI concepts and frameworks, including multi-agent orchestration, tool-use patterns, and autonomous task execution (e.g., LangGraph, CrewAI, AutoGen, or similar) Experience with FastAPI, Flask, or Django for building backend services Experience with React, Next.js, or similar component-based frontend frameworks and UI libraries (e.g., Material UI) Familiarity with SAST tools (e.g., Semgrep, SonarQube, Bandit) and secure software development practices Experience with Kubernetes (e.g., GKE, EKS, AKS) in a development or deployment capacity Exposure to infrastructure-as-code tools (e.g., Terraform, Helm) or GitOps workflows Experience developing or deploying applications within U.S

government or Department of Defense IT environments Familiarity with FedRAMP, IL4/IL5, or CMEK compliance concepts in cloud environments Certifications (any of the following are a plus) AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect - Associate Google Cloud Professional Machine Learning Engineer or Google Cloud Associate Cloud Engineer Microsoft Certified: Azure AI Engineer Associate or Azure Developer Associate