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Data Engineer With Ai Jobs in Brandon, MS (NOW HIRING)

Technical expertise with data warehouse tools * Analytical thinking skills * Problem-solving skills * Master's degree relevant to data or computer sciences or equivalent certification preferred.

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Technical expertise with data warehouse tools * Analytical thinking skills * Problem-solving skills * Master's degree relevant to data or computer sciences or equivalent certification preferred.

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Technical expertise with data warehouse tools * Analytical thinking skills * Problem-solving skills * Master's degree relevant to data or computer sciences or equivalent certification preferred.

Partner with Finance, Commercial, Supply Chain, Manufacturing, and IT to align reporting and data ... Engineering, Finance, or a related discipline. * Five (5) or more years of progressively ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

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Data Engineer With Ai information

See Brandon, MS salary details

$43K

$125.3K

$171.4K

How much do data engineer with ai jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data engineer with ai in Brandon, MS is $125,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

Does a data engineer work with AI?

A data engineer with AI expertise works with large datasets, data pipelines, and tools like SQL, Python, and cloud platforms to support AI and machine learning projects. They prepare and manage data that AI models require for training and deployment, often collaborating with data scientists and AI engineers.

What are popular job titles related to Data Engineer With Ai jobs in Brandon, MS?

For Data Engineer With Ai jobs in Brandon, MS, the most frequently searched job titles are:

What job categories do people searching Data Engineer With Ai jobs in Brandon, MS look for?

The top searched job categories for Data Engineer With Ai jobs in Brandon, MS are:

SME Azure Data Engineer

Jackson, MS • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees

$117K - $140K/yr

Contractor

Re-posted 16 days ago


Job description

Role: SME Azure Data Engineer

Location: Jackson, MS 39211 – Remote

Duration: 5 years

 

Bachelor’s degree required 

Position Description:

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems.

  • Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data from multiple source systems.
  • Implement and manage data models, views, and performance tuning in Azure SQL and Synapse environments.
  • Monitor, troubleshoot, and resolve data pipeline and performance issues.
  • Document data flows, transformations, and technical standards.
  • Collaborate with analysts, reporting teams, and vendors to deliver timely, accurate data for federal and state reporting.

Required Skills:

A minimum of 5 years of experience in the following:

  • Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization).
  • Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based platforms (dedicated and serverless SQL pools).
  • Strong T-SQL skills, including query optimization, indexing strategies, stored procedures, and performance tuning.
  • Implementation of ETL/ELT frameworks, including incremental loads, CDC patterns, and error handling.
  • Integration of structured and semi-structured data (CSV, JSON, XML) from APIs, SFTP, and vendor systems.
  • Source control and deployment practices using Azure DevOps, Git, and CI/CD pipelines.

Preferred Skills:

  • Experience with student information management systems and K-12 data and reporting
  • Experience with Common Education Data Standards (CEDS)
  • Azure Data Engineer Associate certification