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Entry Level Azure Data Engineer Jobs in Alabama (NOW HIRING)

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-time Shift: Day Job ... Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred)

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-time Shift: Day Job ... Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred)

AECOM

Entry-Level Transportation Engineer

Birmingham, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AECOM is seeking an Entry-Level Transportation Engineer to be based in Birmingham, AL. This ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

Accenture LLP

Cloud Platform Engineer

Huntsville, AL · On-site

$93K - $176K/yr

Offer a thorough understanding of ML, data analysis, data visualization, and event-driven ... A Microsoft Azure Certification Bonus points if you have: * Experience in the defense IT ...

UAB NOVA RENT

APPLICATIONS ENGINEER-ENT

Birmingham, AL · On-site

$80K/yr

Utilize relational and NoSQL databases for data persistence, application logic, query design, and ... Deploy, monitor, and support cloud-hosted software environments using tools such as Azure DevOps ...

OASYS, INC.

Software Engineer One

Huntsville, AL · On-site

  • Dental

  • Vision

  • Retirement

  • PTO

OASYS, INC. is seeking an Entry Level Software Engineer (0-2 years) with the right composition of ... Data structures and algorithms (arrays, lists, stacks/queues, hash maps). * Software design ...

OASYS, INC.

Software Engineer One

Huntsville, AL · On-site

  • Dental

  • Vision

  • Retirement

  • PTO

OASYS, INC. is seeking an Entry Level Software Engineer (0-2 years) with the right composition of ... Data structures and algorithms (arrays, lists, stacks/queues, hash maps).Software design principles ...

NTT Ltd.

Your day at NTT DATA The Data Centre Remote Field Service Engineer (L1) is an entry level engineering role, operating in region and responsible for providing a professional remote technical support ...

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Entry Level Azure Data Engineer information

What is an entry level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an entry level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

What are the most commonly searched types of Azure Data Engineer jobs in Alabama?

The most popular types of Azure Data Engineer jobs in Alabama are:

What are popular job titles related to Entry Level Azure Data Engineer jobs in Alabama?

For Entry Level Azure Data Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Data Engineer jobs in Alabama look for?

The top searched job categories for Entry Level Azure Data Engineer jobs in Alabama are:

Entry Level Azure Data Engineer jobs near you
Infographic showing various Entry Level Azure Data Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Engineer

Decisive Intelligence Inc

Huntsville, AL • On-site

Full-time

Re-posted 6 days ago

Job description

Location: HUNTSVILLE, AL, United States
Date Posted: Mar 4, 2025
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: On-Site
Job Description
Description
Seeking an AI Engineer with a strong background in data analytics and product development to join our innovative team in Huntsville, AL. This individual will be responsible for building, optimizing, and deploying AI-driven models, integrating data from multiple sources, and delivering actionable insights to inform strategic decisions. The ideal candidate is passionate about leveraging cutting-edge technologies to solve complex business challenges, has experience bringing AI products to market, and a track record of using data to improve processes, products, and services.
Job Responsibilities:
  • Design, build, and maintain ML/DL models for various AI applications. Continuously refine models for accuracy, efficiency, and scalability.
  • Analyze large datasets to identify patterns and insights. Develop hypotheses, design experiments, and validate findings using statistical methods.
  • Develop and maintain robust data pipelines ensuring data quality and usability. Collaborate with data engineering teams to optimize data infrastructure.
  • Support AI product development from prototyping to deployment and monitoring. Work with product managers, designers, and QA teams to integrate AI features.
  • Ensure scalable and efficient AI models and systems. Address latency and throughput to ensure a high-quality user experience.
  • Collaborate with product management and design teams for intuitive AI features. Translate complex AI functionalities into user-friendly interfaces.
  • Ensure AI solutions comply with privacy regulations (e.g., GDPR, CCPA). Maintain best practices for secure coding, data protection, and ethical AI.
  • Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing maintenance to ensure accuracy and reliability.
  • Work with cross-functional teams to translate business requirements into technical solutions. Communicate project status, findings, and roadblocks to stakeholders.
  • Stay current with AI research, tools, and best practices. Recommend emerging AI techniques to enhance product strategies and business objectives.

Qualifications
Education Requirements:
  • Bachelors degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related field and two (2) years' experience; Six (6) years' related experience can be considered in lieu of degree (per contract vehicle).

Clearance Requirements:
  • Must possess an active Secret security clearance or have the ability to obtain one; US Citizenship required.

Required Experience/Skills:
  • 2+ years of experience working on AI, machine learning, or data analytics projects.
  • Proven track record of developing and deploying AI/ML models in a production environment.
  • Experience with product development life cycles and Agile methodologies is a plus.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with SQL and NoSQL databases, and data processing frameworks like Apache Spark or Hadoop.
  • Experience using analytics and visualization tools (e.g., Tableau, Power BI, matplotlib, Plotly).
  • Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred).
  • Strong problem-solving abilities and attention to detail.
  • Excellent communication and interpersonal skills for cross-team collaboration.
  • Ability to work independently and manage multiple projects simultaneously.

Desired Experience/Skills:
  • Master's degree in AI, Data Science, or a related field.
  • Experience with MLOps pipelines and CI/CD.
  • Background in UX/UI collaboration for AI-focused products.

Apply