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Entry Level Databricks Data Engineer Jobs in Missouri

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

Databricks Job Summary: The Data Scientist builds analytical products to improve business processes ... Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive ...

Vizient

Development Support Engineer

Cape Girardeau, MO · On-site

$77K - $135K/yr

Experience with Databricks, Azure, Spark, data pipelines, observability tools, ServiceNow, Azure DevOps, Python, Splunk, Datadog, or Application Insights preferred. * Familiarity with ITSM/ITIL ...

Vizient

Development Support Engineer

Cape Girardeau, MO

$77K - $135K/yr

Experience with Databricks, Azure, Spark, data pipelines, observability tools, ServiceNow, Azure DevOps, Python, Splunk, Datadog, or Application Insights preferred. * Familiarity with ITSM/ITIL ...

JConnect Infotech

AWS Cloud Engineer

Lake Saint Louis, MO · On-site

$52.75 - $70.50/hr

AWS Cloud Engineer Location: Seattle, WA/St. Louis, MO/Plano, TX/Dallas, TX/Houston, TX Duration ... Data Pipeline Development: Design, develop, and optimize ETL/ELT pipelines using AWS & Databricks ...

SynergisticIT

Business Analyst

Springfield, MO · On-site

In this economy no client wants or has the resources to take an entry level person and spend ... Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ...

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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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What cities in Missouri are hiring for Entry Level Databricks Data Engineer jobs? Cities in Missouri with the most Entry Level Databricks Data Engineer job openings:
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.
Cloud Software Engineer

Cloud Software Engineer

Strategic Staffing Solutions

Saint Louis, MO

$58.25 - $75.75/hr

Other

Posted 4 days ago

Job description

Job Description Strategic Staffing Solutions is currently looking for a Cloud Software Engineer, a W2 contract opportunity. This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.

Cloud Software Engineer Employment Type: W2 Only (No C2C or 1099) Duration: 12-Month Contract with possibility to extend/convert Location: St. Louis, Missouri Schedule: On-site-3 days Work authorization: Must be a US citizen or GC holder to apply. Top Skills: Cloud Platform: Advanced expertise in Amazon Web Services (AWS).

Data Tools: Hands-on administration of Databricks (Workspaces, Clusters, Unity Catalog). Infrastructure as Code: Expert-level proficiency with Terraform. CI/CD: Deep experience building and managing Jenkins pipelines.

Networking: Strong mastery of TCP/IP, DNS, VPC peering, and routing tables. Scripting: Proficiency in Python, Bash Key Responsibilities Infrastructure & Networking Design secure, scalable AWS environments using Multi-Account architectures. Configure advanced AWS networking including VPCs, Transit Gateways, and Route53.

Establish secure connectivity via AWS Direct Connect and VPNs. Implement strict Network Access Control Lists (NACLs) and Security Groups. Migration of on-premises systems to AWS cloud services.

Perform regular updates and upgrades to AWS resources and services Data Platform Engineering Deploy and manage Databricks workspaces across multiple AWS environments. Optimize Databricks clusters for performance, scalability, and cost. Integrate Databricks with AWS data stores like S3, RDS.

Implement Unity Catalog for robust data governance and access control. Automation & CI/CD Write clean, reusable, and modular infrastructure code using Terraform. Manage infrastructure state files securely in remote backends.

Design and maintain CI/CD pipelines using Jenkins for automated testing. Automate the deployment of both AWS resources and Databricks assets. Security & Operations Implement IAM roles and policies following the principle of least privilege.

Monitor system health and performance using AWS CloudWatch and Prometheus. Set up automated alerts for infrastructure anomalies and cost spikes. Troubleshoot complex networking, deployment, and data pipeline failures.

"Beware of scams. S3 never asks for money during its onboarding process.".

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