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Data Engineer Manager Jobs in Missouri (NOW HIRING)

Lindenwood University

Data Engineer

Saint Charles, MO · On-site

$107K - $129K/yr

Manages any necessary system upgrades and enhancements, including testing and documentation updates * Troubleshoots issues related to the data access and manipulation and provide timely solutions

Jobgether

$88K - $106K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer, Sr. based in Netherlands. Join a high-impact ...

New

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Data Engineering & Pipeline Development * Design, build, and maintain robust ETL pipelines that ... Develop and manage data models, schemas, and warehousing structures that support reporting and ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Data Engineering & Pipeline Development * Design, build, and maintain robust ETL pipelines that ... Develop and manage data models, schemas, and warehousing structures that support reporting and ...

V-Soft Consulting Group, Inc

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

Data Engineer III (Hybrid) Primary Location: St. Louis, Missouri V-Soft Consulting is currently ... Informatica Intelligent Data Management Cloud (IDMC). * Experience with enterprise data platforms ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

Manage the full lifecycle of BI reports and data applications, including version control (Git ... Programming: Solid Python skills for backend and application development, and working knowledge of ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Manage the full lifecycle of BI reports and data applications, including version control (Git ... Programming: Solid Python skills for backend and application development, and working knowledge of ...

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 ... You will play a pivotal role in managing data infrastructure, optimizing data workflows, and ...

Mastercard, Inc.

Data Engineer II

O Fallon, MO · On-site

$107K - $128K/yr

Leveraging proficienty expertise in data engineering, data management, and operational analytics, the role independently develops and maintains data solutions that aggregate, process, and analyze ...

MasterCard

Data Engineer II

O Fallon, MO · On-site

$107K - $128K/yr

Leveraging proficienty expertise in data engineering, data management, and operational analytics, the role independently develops and maintains data solutions that aggregate, process, and analyze ...

Capstone IT

Principal Data Engineer

Springfield, MO · On-site

... Manage offshore engineering resources and vendor relationships, including deliverables, budgeting ... Data Modeling Real-Time Data Streaming Business Intelligence & Reporting Tools Executive ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Walmart

Data Engineer III

Noel, MO · On-site

$94K - $113K/yr

What you'll do... As a Data Engineer III at Walmart, you will design, develop, and maintain ... Global Data Foundations (GDF) manages Walmart's Enterprise Data Lake, delivering trusted data that ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Missouri

Data Engineer Manager information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do data engineer manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer manager in Missouri is $121,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Missouri? The most popular types of Data Engineer jobs in Missouri are:
What are popular job titles related to Data Engineer Manager jobs in Missouri? For Data Engineer Manager jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Missouri look for? The top searched job categories for Data Engineer Manager jobs in Missouri are:
What cities in Missouri are hiring for Data Engineer Manager jobs? Cities in Missouri with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 7 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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