Data Engineering Manager Jobs in Missouri
Data Engineering Manager jobs in Missouri are in active demand, concentrated in financial services, healthcare systems, and enterprise technology firms that anchor the state's economy. St. Louis and Kansas City lead hiring, with organizations like Centene Corporation, Edward Jones, and Cerner (now Oracle Health) consistently seeking experienced leaders who can build and scale data infrastructure. The most in-demand specialties center on cloud platform engineering, data pipeline architecture, and analytics platform governance. See the openings below and apply to the ones that match your experience.
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Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Principal, Data Engineering Overview:Mastercard Services Technology is seeking a Senior Principal Data Engineer to help drive our mission of unlocking the full potential of our data assets through innovation, automation, and engineering excellence. This is a highly technical, hands-on individual contributor role focused on building and evolving modern data platforms that enable secure, scalable, and governed access to data across both cloud and on-premises environments.
As a senior technical leader, you will be responsible for designing, building, and optimizing enterprise-scale data platforms across AWS and Azure. You will define architectural standards, champion engineering best practices, and lead the implementation of cloud-native data solutions that support Mastercard's growing data ecosystem. While this role requires strong technical leadership and the ability to influence across teams, it does not include direct people management responsibilities.
The ideal candidate is a builder at heart, someone who enjoys writing code, solving complex engineering challenges, driving platform modernization initiatives, and partnering with globally distributed engineering teams to deliver measurable business impact. If you thrive in a fast-paced environment and are passionate about creating scalable, secure, and future-ready data platforms, this role is for you.
Role:
- Design and architect end-to-end cloud-native data platform solutions, including modern lakehouse architectures leveraging AWS (S3) and Azure (Data Lake) with Databricks and related ecosystem tools.
- Lead by doing through hands-on development of DevOps capabilities, including CI/CD pipelines, Infrastructure-as-Code, and automated environment provisioning across multi-cloud platforms.
- Define and enforce cloud security architecture standards, including IAM design, encryption strategies, network security, and regulatory compliance (e.g., GDPR, HIPAA).
- Establish enterprise-grade data governance frameworks covering data cataloging, lineage, classification, and access control using tools such as AWS Lake Formation and Azure Purview.
- Architect and deliver scalable data engineering solutions, including ETL/ELT pipelines, data lakes, and data warehouse systems supporting analytics and reporting use cases.
- Implement and evolve Medallion Lakehouse architectures (Bronze, Silver, Gold) leveraging AWS services (Glue, Lake Formation) and analytics engines such as Databricks, EMR, and Athena.
- Translate complex business requirements into scalable, secure, and maintainable technical solutions in partnership with product, engineering, and analytics stakeholders.
- Provide hands-on technical leadership by mentoring engineers and DevOps practitioners, promoting engineering excellence, ownership, and continuous improvement.
- Drive operational excellence through proactive monitoring, troubleshooting, and optimization of data platforms for performance, scalability, reliability, and cost efficiency.
- Define and document architectural standards, design patterns, and operational best practices to enable consistency and scalability across teams.
- Evaluate emerging technologies and industry trends in cloud, data, and DevOps to ensure the platform remains modern, efficient, and future-ready.
- Actively participate in architecture reviews, technical design discussions, Agile ceremonies, and iterative planning and estimation sessions while influencing cross-team technical direction.
All About You:
- Deep expertise designing, building, and operating enterprise-scale cloud and data platforms.
- Hands-on experience with AWS services including S3, EC2, Lambda, Glue, Redshift, EMR, Athena, and Lake Formation.
- Hands-on experience with Azure services including Data Factory, Synapse, Fabric, Azure Data Lake, and related technologies.
- Strong software engineering background with experience building production-grade cloud-native solutions.
- Expertise implementing Infrastructure-as-Code and CI/CD pipelines using Terraform, CloudFormation, Bicep/ARM, Azure DevOps, GitLab CI/CD, or similar tools.
- Strong understanding of cloud security architecture, IAM, encryption, governance, and compliance frameworks.
- Extensive experience with Spark, PySpark, distributed data processing, and large-scale data engineering systems.
- Proficiency in Python and scripting languages such as Bash or PowerShell.
- Demonstrated success delivering production-scale Medallion Lakehouse architectures.
- Experience with containerization and orchestration technologies including Docker, Kubernetes, ECS, and AKS.
- Strong knowledge of observability, monitoring, and logging platforms such as CloudWatch, Azure Monitor, ELK, or Grafana.
- Experience implementing cloud cost optimization and FinOps best practices.
- Proven ability to influence technical direction, drive consensus, and deliver outcomes across cross-functional teams without direct authority.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
Arlington, Virginia: $244,000 - $390,000 USD O'Fallon, Missouri: $212,000 - $339,000 USDSee All 10 Data Engineering Manager Jobs in Missouri
Find roles in Missouri that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in Missouri
Where Missouri roles are concentrated, by current openings.
Data Engineering Manager Job Market in Missouri
A snapshot from current Missouri openings, updated as new roles post.
Who's Hiring
- Mastercard2

- REPLY1

- Boeing1

- Introba1

- CVS Health1

Top Industries Hiring
- Technology & Software3
- Construction & Real Estate2
- Retail1
- Healthcare & Medical Services1
What Missouri Employers Look For
The qualifications that appear most often in data engineering manager jobs across Missouri.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Five or more years of data engineering experience with at least two years in a leadership role
- Proven ability to design and maintain large-scale data pipelines using tools like Apache Spark or Kafka
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud in production environments
- Strong proficiency in SQL, Python, or Scala for data modeling and transformation workflows
- Experience collaborating with data science, analytics, and product teams to deliver business-critical data solutions
Data Engineering Manager Jobs in Missouri: Frequently Asked Questions
How do you become a data engineering manager in Missouri?
The typical path starts with a bachelor's degree in computer science, information systems, or a related field, followed by several years of hands-on data engineering work before moving into management. Missouri has no state-issued license or registration required for this role. Most Missouri employers look for candidates who have led cross-functional data teams, owned platform reliability, and mentored engineers, with an advanced degree or cloud certification strengthening competitiveness at senior levels.
Which companies hire data engineering managers in Missouri?
Employers hiring data engineering managers in Missouri right now include Mastercard, REPLY, and Boeing, based on current listings on Migrate Mate as of July 2026. Missouri's concentration of large financial services firms, regional health systems, and enterprise technology companies creates consistent year-round demand for this role.
Which Missouri cities have the most data engineering manager jobs?
O'Fallon, St. Louis, and Berkeley have the most data engineering manager openings in Missouri. St. Louis dominates because of its dense cluster of Fortune 500 headquarters and major health systems, while Kansas City's growth in financial technology and logistics analytics drives strong hiring on the western side of the state.
Are there remote data engineering manager jobs in Missouri?
Yes, and more than most fields. About 40% of data engineering manager openings tied to Missouri are remote or hybrid as of July 2026, reflecting the largely desk-based and collaborative-tool-driven nature of the work. The parts of the role most likely to stay fully remote are pipeline development, architecture reviews, and cross-team stakeholder work that runs through video calls and shared code repositories.
How can I get hired as a data engineering manager in Missouri with little or no experience?
The most realistic path is moving into a data engineering manager role from a senior individual contributor position, such as senior data engineer, data architect, or analytics engineer, at a Missouri employer large enough to promote from within. Large Missouri-based organizations like Centene Corporation, World Wide Technology, and regional hospital networks such as BJC HealthCare run internal development programs and regularly promote technical leads. Building a portfolio of end-to-end pipeline projects, earning a cloud certification, and taking on informal team lead responsibilities in a current role gives candidates the clearest edge.
Where can I find and apply to data engineering manager jobs in Missouri?
You can find and apply to data engineering manager jobs in Missouri on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience level and technical background, then apply directly to the ones that fit.
See All 10 Data Engineering Manager Jobs in Missouri
Find roles in Missouri that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs