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Databricks Admin Jobs in Missouri (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security * Collaborate with internal stakeholders and external ...

D&G Support Services

Software Developer

Saint Louis, MO · On-site

$120 - $180/hr

Develop and maintain data pipelines that ingest data into Databricks and support integration with ... Administer data structures, data topics, and data engineering processes while implementing industry ...

D&G Solutions

Software Developer

Saint Louis, MO · On-site

$120 - $160/hr

Develop and maintain data pipelines that ingest data into Databricks and support integration with ... Administer data structures, data topics, and data engineering processes while implementing industry ...

D&G Support Services, LLC

Data Engineer

Saint Louis, MO · On-site

$125K - $150K/yr

What You Will Do • Develop and maintain data pipelines that ingest data into Databricks and ... • Administer data structures, data topics, and data engineering processes while implementing ...

BUNZL

Finance IT Specialist

Saint Louis, MO · On-site

Act as a system administrator or power user for select financial applications, including user ... Databricks), including experience with APIs or automated data feeds, is a plus. The rewards of ...

Deloitte

Kinaxis Manager

Kansas City, MO · On-site

... 1, Administrator Level 1, and Integration Level 1 * Experience with Talend or other extract, transform, load (ETL) tools, including Google Cloud Dataflow, Azure Data Factory, or Databricks

Washington University of St. Louis

$65K - $112K/yr

Experience collaborating across researchers, analysts, and university administrators to define ... Skills: API Development, Cloud Platform, Container Orchestration, Databricks Platform, Data ...

Deloitte

Kinaxis Manager

Saint Louis, MO · On-site

... 1, Administrator Level 1, and Integration Level 1 * Experience with Talend or other extract, transform, load (ETL) tools, including Google Cloud Dataflow, Azure Data Factory, or Databricks

Bunzl

Finance IT Specialist

Saint Louis, MO · On-site

Act as a system administrator or power user for select financial applications, including user ... Databricks), including experience with APIs or automated data feeds, is a plus. The rewards of ...

All JobsDatabricks Admin JobsDatabricks Admin Jobs in Missouri

Databricks Admin information

What is a Databricks Admin?

Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.

What are the key skills and qualifications needed to thrive as a Databricks Admin?

To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.

What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?

As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.

What is the difference between Databricks Admin vs Data Engineer?

AspectDatabricks AdminData Engineer
CredentialsDatabricks certifications, cloud platform knowledgeProgramming skills, cloud certifications, data modeling
Work EnvironmentCloud-based Databricks platform, administrative tasksData pipelines, ETL processes, coding environments
Employer & IndustryTech companies, data-driven organizations using DatabricksOrganizations building data infrastructure, analytics teams
Search & Comparison IntentUnderstanding administrative roles in DatabricksData pipeline development and data architecture

While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.

What are popular job titles related to Databricks Admin jobs in Missouri?

For Databricks Admin jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Databricks Admin jobs in Missouri look for?

The top searched job categories for Databricks Admin jobs in Missouri are:

What cities in Missouri are hiring for Databricks Admin jobs?

Cities in Missouri with the most Databricks Admin job openings:

Databricks Admin jobs near you
Infographic showing various Databricks Admin job openings in Missouri as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 21 days ago

Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering

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