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Contractual Azure Databricks Jobs (NOW HIRING)

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

... with Databricks, notebooks, model serving, MLflow, and related cloud services such as Azure AI ... They are not contractual in nature and are subject to change at the discretion of Little Caesars ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

... with Databricks, notebooks, model serving, MLflow, and related cloud services such as Azure AI ... They are not contractual in nature and are subject to change at the discretion of Little Caesars ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. * Strong ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Wesco

Senior Developer (WMS Support)

Pittsburgh, PA

$93K - $128K/yr

... contractual discussions and operational efforts. * Oversees third party technology partners ... Strong knowledge of Azure Data Factory and Databricks for data integration and analytics support ...

Steampunk

Data Engineer

Mclean, VA

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ... Experience with Databricks. * Advanced working SQL knowledge and experience working with relational ...

Steampunk

Data Engineer

Mclean, VA

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ... Experience with Databricks. * Advanced working SQL knowledge and experience working with relational ...

Steampunk

Data Engineer

Mclean, VA · On-site

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ... Experience with Databricks. * Advanced working SQL knowledge and experience working with relational ...

Kavaliro

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

Resolve contractual or delivery issues. REQUIREMENTS: * The ideal candidate has a combination of ... Experience with Azure: Data Factory, Databricks, Data Lake Storage, SQL DW, Analysis Services, and ...

Anika Systems

AI Engineer

Leesburg, VA · Remote

... contractual obligations, or company policies. Any such changes will be communicated in advance ... Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.

steampunk

Data Engineer with Security Clearance

Fairfax, VA · On-site

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ... Experience with Databricks. * Advanced working SQL knowledge and experience working with relational ...

Steampunk

Data Engineer

Mclean, VA · On-site

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ... Experience with Databricks. * Advanced working SQL knowledge and experience working with relational ...

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All JobsContractual Azure Databricks Jobs

Contractual Azure Databricks information

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How much do contractual azure databricks jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for contractual azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Contractual Azure Databricks vs Data Engineer?

AspectContractual Azure DatabricksData Engineer
CredentialsAzure certifications, Spark, SQLData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, project-specific contractsVaried, including cloud and on-premises environments
Employer & Industry UsageConsulting firms, tech companies, project-based rolesTech companies, finance, healthcare, often permanent or contract roles

Contractual Azure Databricks professionals focus on implementing and managing data solutions on the Azure platform for specific projects, often on a contractual basis. Data Engineers build and maintain data pipelines across various environments. While both roles require cloud and data processing skills, Contractual Azure Databricks specialists are more platform-specific, whereas Data Engineers have broader responsibilities across data architecture and engineering tasks.

More about Contractual Azure Databricks jobs
What cities are hiring for Contractual Azure Databricks jobs? Cities with the most Contractual Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
What states have the most Contractual Azure Databricks jobs? States with the most job openings for Contractual Azure Databricks jobs include:
What job categories do people searching Contractual Azure Databricks jobs look for? The top searched job categories for Contractual Azure Databricks jobs are:
Contractual Azure Databricks jobs near you
Infographic showing various Contractual Azure Databricks job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 1% Part Time, and 12% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Applied AI Engineer

Little Caesars

Detroit, MI • On-site

Full-time

Posted 22 days ago

Little Caesars rating

4.5

Company rating: 4.5 out of 10

Based on 956 frontline employees who took The Breakroom Quiz

93rd of 106 rated fast food restaurants

Job description

Job Summary:
The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data engineering, model development, and integration. Operating within the AI Strategy team, this role accelerates Little Caesars' AI future by rapidly prototyping and piloting high-impact use cases.
This role will partner closely with Data Engineering, Architecture, Product, and Application Development teams to ensure the team can rapidly prototype within a secure environment. The ideal candidate can work across the stack, with experience in platforms such as Databricks and the ability to move solutions from data pipelines and experimentation through APIs, user experiences, and production support.
Key Responsibilities:
  • Design, build, and deploy end-to-end AI solutions that span data ingestion, transformation, model development, evaluation, deployment, and application integration
  • Develop scalable data pipelines and feature engineering workflows using modern data platforms, including Databricks
  • Build and productionize machine learning and generative AI solutions that address prioritized business use cases
  • Create APIs, services, and application components that embed AI capabilities into internal tools, workflows, and user-facing experiences
  • Work with architecture and platform teams to establish reusable patterns for model serving, orchestration, monitoring, and secure deployment
  • Collaborate with product, business, and technical stakeholders to translate requirements into practical AI-enabled solutions with measurable impact
  • Support proof-of-concepts, pilots, and production implementations while balancing speed, scalability, maintainability, and responsible AI practices
  • Partner with data governance, security, and infrastructure teams to ensure AI solutions meet enterprise standards for privacy, reliability, and compliance
  • Stay current on emerging AI engineering practices, frameworks, and tools, and recommend technologies that improve delivery speed and solution quality
  • Mentor teammates and contribute to the evolution of engineering standards, reusable components, and AI platform capabilities

Required Knowledge, Skills and Abilities:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field, with experience building and deploying AI or machine learning solutions in production environments. Equivalent experience may be considered in lieu of formal degree.
  • 2+ years of experience developing end-to-end AI solutions, including data pipelines, model training, evaluation, deployment, and application or API integration
  • Strong programming skills in Python and SQL, with the ability to build maintainable, production-quality code and integrate open-source AI frameworks
  • Hands-on experience with data engineering concepts such as data modeling, transformation, orchestration, and feature preparation for AI workloads
  • Experience building services, APIs, or lightweight applications that operationalize AI capabilities for end users or internal teams
  • Experience with machine learning, generative AI, and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or intelligent assistants
  • Experience with secure development practices, data privacy controls, and operational monitoring for AI and data solutions

Preferred Knowledge, Skills and Abilities:
  • Knowledge of cloud and hybrid data architectures and how storage, compute, and governance choices influence AI solution design
  • Understanding of modern product and engineering practices such as Agile, DevOps, CI/CD, MLOps, and responsible AI delivery
  • Experience with Databricks, notebooks, model serving, MLflow, and related cloud services such as Azure AI Foundry, Microsoft Fabric, or Azure Data Factory

Working Conditions:
  • This position may require minimal travel to vendor locations, assessment at restaurants and Ilitch Companies facilities, data centers or seminars/networking.

Competencies:
  • Demonstrated comfort in ambiguity and ability to work in a fast-paced continuous delivery environment
  • Ability to communicate technical concepts, architecture decisions, and solution tradeoffs clearly to both technical and non-technical stakeholders
  • Practiced at solving ambiguous business problems through structured thinking, iterative delivery, and cross-functional collaboration
  • Excellent written and verbal communication skills with the ability to document technical solutions and support collaborative delivery

Disclaimer:
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc.
Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.
This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.
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