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Entry Level Databricks Data Engineer Jobs in Missouri

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Stellar IT Solutions

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering. What You'll Do

Reveille Technologies

Lead Data Engineering

Saint Louis, MO · On-site

$108K - $130K/yr

Engineer with experience in Scala, Python or Java, Big Data+ AWS/Databricks. Needs AI agent knowledge to create agents within the team to automate the processes Core skills: * Data Engineering ...

KPMG

Senior Specialist, Federal Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda * Hands-on experience data engineering ...

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Entry Level Databricks Data Engineer information

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
What are the most commonly searched types of Databricks Data Engineer jobs in Missouri? The most popular types of Databricks Data Engineer jobs in Missouri are:
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Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Missouri as of July 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution.

Lead Data Engineer (Databricks)

Maveric NXT Inc

Kansas City, MO • On-site

$99K - $131K/yr

Other

Posted 12 days ago

Job description

 

Hire Type: Contract to Hire 

 

Payment Terms: Corp-to-Corp (C2C) engagement only. The consultant must operate through their own valid incorporated business entity.

 

Submission Guidelines: We are accepting direct engagements with independent consultants operating through their own corporation. Submissions from third-party staffing firms, consulting vendors, or intermediaries are outside the scope of this requirement.

 

 

Project Context:
Customer is undergoing a large-scale migration from Teradata to Databricks over the last 18 months. Data lake hydration is still in progress, with multiple layers supporting domain-based transformations. Hundreds of MIS reports currently running on Teradata must be successfully migrated and validated in the target Databricks environment. The client requires immediate implementation and subsequently scalable testing services.

Key Requirements:

  • Strong expertise in Databricks Lakehouse architecture
  • Hands-on experience with Databricks DLT Meta (Delta Live Tables) (not Unity Catalog)
  • Expertise in using Azure (requirement is Azure, ADLS Gen 2, Azure Data Factory, Azure Key Vault, Azure DevOps)
  • Expertise in CI/CD implementation in Azure DevOps for deployment pipelines
  • Experience designing scalable testing and validation frameworks for data migration projects
  • Proven experience in Teradata to Databricks migration programs
  • Ability to support multi layer implementation and optimization
  • Strong understanding of enterprise reporting/data reconciliation processes

Preferred Profile:

  • Senior Data Leads with real project implementation and migration expertise (not just trained/certified resources)
  • Experience handling large-scale enterprise data transformation programs
  • Ability to work in hybrid onsite/offshore delivery model

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