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Senior Data Engineering Jobs in Missouri (NOW HIRING)

C2FO

Senior Data Engineer I

Kansas City, MO · On-site

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way ... Data Architecture & Engineering : Design, develop, and maintain high-performance, scalable, and ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way ... Data Architecture & Engineering : Design, develop, and maintain high-performance, scalable, and ...

Navtech, Inc.

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a ... Education/Experience: Bachelor's degree in Computer Science, Computer Engineering, Software ...

Jobgether

$81K - $111K/yr

You will take ownership of complex data engineering solutions across ingestion, transformation, and ... Accountabilities: The Senior Data Engineer will be responsible for building and maintaining ...

Equifax, Inc.

Senior Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will lead the evolution of our data platform, and build data ... Design and implement data engineering frameworks to scale development and deployment of data ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Data Engineering & Architecture * Design, develop, and maintain Snowflake data warehouse solutions.

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Data Engineering & Architecture * Design, develop, and maintain Snowflake data warehouse solutions.

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Data Engineering & Architecture * Design, develop, and maintain Snowflake data warehouse solutions.

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ...

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ...

Boeing

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ...

MasterCard

Senior Principal, Data Engineering

O Fallon, MO · On-site

$117K - $161K/yr

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 ...

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

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

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Missouri? The most popular types of Data Engineering jobs in Missouri are:
What are popular job titles related to Senior Data Engineering jobs in Missouri? For Senior Data Engineering jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Missouri look for? The top searched job categories for Senior Data Engineering jobs in Missouri are:
What cities in Missouri are hiring for Senior Data Engineering jobs? Cities in Missouri with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer I

C2FO

Kansas City, MO • On-site

$103K - $140K/yr

Full-time

Posted 26 days ago

Job description

Senior Data Engineer I
More than a mission, C2FO is a better financial system, changing the way every business gains access to the working capital they need to thrive. At C2FO, everyone is an employee-owner which means we're all invested in our work and team members. We're a company of team players and self-starters finding new and innovative ways to get things done. If you're excited to learn, grow and leave your mark on our fast-growing organization, C2FO may be the place for you.
About C2FO
Headquartered in Kansas City, USA, C2FO has more than 400 employees worldwide, with operations throughout North America, Europe, India, Asia Pacific, and Australia. C2FO is the world's largest on-demand working capital platform. Our mission is to ensure every business has the capital needed to thrive and we have delivered more than $500+ billion in funding to businesses since our founding. How do we do this? By providing fast, flexible, and equitable access to low-cost capital through our easy-to-use platform.
We provide technology with a human touch, giving our customers the direct support they need and ensuring our team members have the tools, resources, and work environment they need to deliver on our promise to customers. With the C2FO platform, businesses worldwide have more working capital to fuel their growth, create jobs and develop new products.
Benefits
At C2FO, we take care of our customers and our people - the vital human capital that helps our customers thrive. That's why we offer a comprehensive benefits package, flexible work options for work/life balance, volunteer time off, and more. Learn more about our benefits here. (https://www.c2fo.com/amer/us/en-us/about-us/careers
About the Senior Data Engineer I role:
We are looking for a talented and experienced Senior Data Engineer I to join our growing data ingestion team. In this role, you will collaborate with data scientists, analysts, marketing, sales, and application developers to design, develop, and maintain scalable data systems and pipelines that power critical business insights. This is an exciting opportunity to work in a fast-paced environment and have a significant impact on our data infrastructure.
Essential Duties:
  • Solve Complex Problems: Apply your broad experience and expertise to develop innovative solutions for complex data challenges. Use professional judgment to determine the best methods and techniques for problem-solving, even in unfamiliar territory.
  • Data Architecture & Engineering: Design, develop, and maintain high-performance, scalable, and testable data pipelines and ETL processes.
  • Cross-Functional Collaboration: Partner with data science, analytics, product, marketing, and engineering teams to translate business needs into scalable data solutions. Network with senior internal and external stakeholders to enhance data strategies.
  • Autonomy & Ownership: Work with minimal oversight, ensuring technical integrity in all solutions. Define methods and procedures for new assignments and contribute to the coordination of data engineering activities.
  • Optimize & Maintain Data Infrastructure: Ensure system performance, reliability, and security by continuously improving existing data platforms.
  • Data Governance & Quality: Implement and advocate for best practices in data governance, security, and quality assurance.
  • Leadership & Mentorship: Influence project planning and timelines, provide actionable feedback, and mentor junior engineers to foster a high-performing, collaborative team.
  • Stay Ahead of Industry Trends: Keep up with emerging technologies and best practices to continuously improve data engineering processes.
  • Fully Remote: This position is fully remote, requiring a reliable internet connection in a private setting.
  • Physical requirements: This position primarily requires sitting, standing, typing, and viewing screens for extended periods.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
  • 5+ years of experience in data engineering, with a proven track record of solving complex problems and scaling data pipelines.
  • Strong SQL skills and experience with data processing frameworks (e.g., Apache Spark, Apache Kafka).
  • Expertise in cloud data platforms (AWS).
  • Proficiency in Python, Java, or Scala.
  • Experience with AWS Glue.
  • Solid understanding of data warehousing concepts (e.g., Redshift).
  • Strong analytical and problem-solving skills, with the ability to work independently and exercise good judgment.

Preferred Qualifications:
  • Hands-on experience with ETL tools like Airflow.
  • Experience with DBT(data build tool).
  • Experience with data modeling, governance, and quality assurance.
  • Experience in software application development.
  • Experience with containerization and orchestration tools (Docker, Kubernetes).
  • Familiarity with machine learning workflows and model deployment pipelines.
  • Power BI management and report building.
  • Knowledge of data security best practices and frameworks.

Commitment to Diversity and Inclusion.
As an Equal Opportunity Employer, we not only value diversity and equality, but we also empower our team members to bring their authentic selves to work every day. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission.
We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs.
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