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Trainee 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

Senior Solutions Engineer (Eastern US)

Central, LA · Remote

$56.50 - $73/hr

Supporting the deal lifecycle, value engineering, and stakeholder management. Drive the solution ... Snowflake, Databricks, BigQuery) and cloud technologies (AWS, GCP) to advise on data governance and ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Trainee Databricks Data Engineer information

See Baton Rouge, LA salary details

$42.7K

$124.6K

$170.4K

How much do trainee databricks data engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for trainee databricks data engineer in Baton Rouge, LA is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.
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:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Baton Rouge, LA? For Trainee Databricks Data Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Baton Rouge, LA are:
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