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Senior Databricks Data Engineer Jobs in Missouri

Nimble Solutions

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 ...

Nimble Solutions

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 ...

Stellar IT Group

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 ...

Saxon Global

Data Engineer

Saint Louis, MO

$111K - $133K/yr

... engineering technologies such as Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing (EDW). This role is critical in enabling advanced customer data capabilities across marketing ...

Lockton

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 ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$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 ...

Koantek

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 ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Pwc

Data Engineer - Manager

Kansas City, MO · On-site

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Pwc

Data Engineer - Manager

Saint Louis, MO · On-site

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

MFour Data Research

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

They are seeking a Senior Data Engineer to own the consumer-data pipeline, responsible for ... Databricks and Snowflake), object storage, and cloud-native orchestration services. • A rigorous ...

Milliman

Data Engineer (MedInsight)

Saint Louis, MO · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives ...

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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:
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What cities in Missouri are hiring for Senior Databricks Data Engineer jobs? Cities in Missouri with the most Senior Databricks Data Engineer job openings:
Senior Databricks Data Engineer jobs near you
Data Engineer

Data Engineer

Nimble Solutions

Chesterfield, MO • On-site

$113K - $136K/yr

Full-time

Posted 18 days ago

Job description

Description:


Data Engineer

Chesterfield Office Hybrid or Remote


Why You'll Want to Join!


Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.


Position Overview


Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into actionable insights that drive revenue cycle optimization and clinical outcomes.


Why This Role Matters


Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.


Key Responsibilities


• Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake

• Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards

• Write and optimize SQL queries for performance across large healthcare datasets

• Implement data governance, quality frameworks, and HIPAA compliance controls

• Collaborate with analytics, data science, and business teams to define data requirements

• Monitor and troubleshoot data pipeline health and performance

• Develop Python or Scala code for complex transformations and data processing

• Support Power BI and analytics teams with data modeling and performance optimization

• Document data lineage, transformations, and technical architecture

Requirements:


• 3+ years of professional data engineering or ETL/ELT development experience

• Expert-level SQL skills with proven optimization experience

• Proficiency in Python, Scala, or similar data processing languages

• Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)

• Understanding of healthcare data standards (HL7, FHIR, claims data structures)

• Strong grasp of data modeling, normalization, and schema design

• Experience with data versioning, CI/CD pipelines, and data quality frameworks


Preferred Qualifications


• Experience with Microsoft Fabric or Azure Data Factory

• Knowledge of HIPAA compliance and healthcare data security

• Background in healthcare, RCM, or claims processing

• Experience with dbt (data build tool) or equivalent transformation frameworks

• Exposure to dimensional modeling and data warehousing best practices


What Success Looks Like


• In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics

• In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components

• Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance