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Intern Databricks Data Engineer Jobs in Baton Rouge, LA

Data Systems Engineer

Baton Rouge, LA · On-site +1

$109K - $132K/yr

Microsoft Fabric, Azure Data Services, Databricks * Power BI and Power Platform * Python * DAX * Microsoft Dynamics D365 (preferred) * Azure DevOps (or similar CI/CD tools) * Git version control

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Azure Databricks: Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Azure Databricks: Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers

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Intern Databricks Data Engineer information

See Baton Rouge, LA salary details

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How much do intern databricks data engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for intern databricks data engineer in Baton Rouge, LA is $24.41, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $27.69 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Baton Rouge, LA? The most popular types of Databricks Data Engineer jobs in Baton Rouge, LA are:
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Delivery Solutions Architect - High-Tech & Manufacturing

Delivery Solutions Architect - High-Tech & Manufacturing

Databricks

Central, LA

Other

Posted 8 days ago


Job description

CSQ427R106

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

  • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
  • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
  • Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
  • Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
  • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams:
    • Main use cases moving from 'win' to production
    • Enablement/user growth plan
    • Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
    • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
    • Executive and operational governance
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

  • 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers
  • Programming experience in Python, SQL, or Scala 
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Understanding of solution architecture related to distributed data systems
  • Understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program, or project management, including account, stakeholder, and resource management accountability
  • Experience in resolving complex and important escalations with senior customer executives
  • Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects
  • Track record of overachievement against quota, goals, or similar objective targets
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Ability to travel up to 30% when needed