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Senior Databricks Data Engineer Jobs in Missouri

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform ...

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue ... You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform ...

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

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 ...

Sr Analytics Engineer

Kansas City, MO · On-site

$101K - $139K/yr

... Databricks notebooks. • Implement data validation and monitoring to ensure data accuracy and reliability. • Contribute to tools or dashboards that support ongoing data quality monitoring and ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Guarantee that Databricks best practices are applied throughout all projects to maintain high ...

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Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data Engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
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:
What are popular job titles related to Senior Databricks Data Engineer jobs in Missouri? For Senior Databricks Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Missouri look for? The top searched job categories for Senior Databricks Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Senior Databricks Data Engineer jobs? Cities in Missouri with the most Senior Databricks Data Engineer job openings:
Infographic showing various Senior Databricks Data Engineer job openings in Missouri as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Senior Databricks Architect

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Re-posted 28 days ago


Job description

Overview:
Senior Databricks Architect
Location: Remote
Role Type: Long Term Contract
Role Overview
Ripple is introducing Databricks as a core component of its treasury data platform and seeks a Senior Architect to design, lead, and implement Databricks pipelines. This role will set the strategic direction for Databricks, ensuring the platform supports critical functions such as cash management, liquidity, forecasting, and payments. The architect will be both a hands-on contributor and a leader guiding developers in building and stabilizing the platform.
Key Responsibilities:
  • Architect and implement Databricks pipelines to support enterprise data platform.
  • Define frameworks, clustering strategies, and platform capabilities to ensure scalability and reliability.
  • Lead and mentor development teams, providing technical direction and best practices.
  • Collaborate with executives and stakeholders to align technical solutions with business objectives.
  • Advocate for outcomes and act as a strong consultant to drive adoption and success.
  • Integrate data from Azure, SQL Server, and Power BI into Databricks for BI and AI use cases.
  • Build, stabilize, and optimize the platform for long-term growth.

Essential Skills:
  • Proven expertise in Databricks architecture (clustering, frameworks, capabilities).
  • Strong data background with ability to architect, design, and lead developers.
  • Demonstrated team leadership and ability to communicate with both technical teams and executives.
  • Consulting mindset with ability to advocate and drive outcomes.

Desired Skills:
  • Financial services background (cash, liquidity, forecasting, payments).
  • Experience using AI tools (Devin.AI, Claude, Rovo, etc.).
  • Familiarity with Ripple's tech stack: Azure, SQL Server, Power BI, Databricks.

Skills:
DATABRICKS,AZURE,POWERBI