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Senior Data Engineering Jobs in Missouri (NOW HIRING)

Cushman & Wakefield

Principal Engineer

Creve Coeur, MO · On-site

$157.25 - $185/hr

... senior, high‑impact technical leader responsible for solving complex data engineering challenges and shaping enterprise‑wide data architecture within the TDS Technology and Data Solutions team.

New

Kohl's

$112K - $148K/yr

Establish and lead product engineering and software standards * Ideate a new product from a user ... Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate ...

Sam's Club

Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Sam's Club

Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Sam's Club

Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Walmart

Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

This role partners with product, engineering, and business stakeholders to translate ambiguous ... The Senior Data Scientist is accountable for end-to-end model development--from data exploration ...

Walmart

Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

This role partners with product, engineering, and business stakeholders to translate ambiguous ... The Senior Data Scientist is accountable for end-to-end model development--from data exploration ...

Walmart

Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

This role partners with product, engineering, and business stakeholders to translate ambiguous ... The Senior Data Scientist is accountable for end-to-end model development--from data exploration ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

You will be a great fit if: - You architect end-to-end ML/AI systems -- from feature engineering ... Present insights to senior leadership with compelling data visualization, quantified business ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

You will be a great fit if: - You architect end-to-end ML/AI systems -- from feature engineering ... Present insights to senior leadership with compelling data visualization, quantified business ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

You will be a great fit if: - You architect end-to-end ML/AI systems -- from feature engineering ... Present insights to senior leadership with compelling data visualization, quantified business ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

You will be a great fit if: - You architect end-to-end ML/AI systems -- from feature engineering ... Present insights to senior leadership with compelling data visualization, quantified business ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

You will be a great fit if: - You architect end-to-end ML/AI systems -- from feature engineering ... Present insights to senior leadership with compelling data visualization, quantified business ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

You will be a great fit if: - You architect end-to-end ML/AI systems -- from feature engineering ... Present insights to senior leadership with compelling data visualization, quantified business ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

We're hiring a Senior Data Analys t to support our Corporate Headquarters in Columbia, MO and we're ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

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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 Scientist - AI Specialist

Jobtailor

Dearborn, MO • On-site

$140 - $190/hr

Other

Posted 3 days ago

New

Job description

Responsibilities
  • As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
  • You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.
  • You will collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop metrics, develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable via Google Cloud Platform to optimize the delivery of value.
  • Designing, training, and fine‑tuning AI models (including deep learning and LLMs) to solve specific business problems.
  • Familiar with LLM orchestration workflows like Langraph and Google ADK for quick development and scaling strategies to build robust pipelines.
  • Familiar with AI Graph DB platform, use native graph query and conduct LLM extraction into actionable insights.
  • Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
  • Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
  • Working with data scientists to define AI strategies, understand requirements, and implement solutions.
  • Testing, validating, and monitoring AI models in production scale to ensure reliability.
  • Staying current with AI advancements (e.g., generative AI, LLMs) and applying them to improve existing products.
  • Accelerate the application of value‑added analytics and machine learning into the portfolio of products for the supplier risk team.
  • Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine‑learning methods.
  • Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
  • Act as a consultant to the business vs. an order taker.
Requirements
  • Master’s degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, or Computer Science or equivalent combination of relevant education and experience.
  • 5+ years of hands‑on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis, capable of using at least three of the following visualization/dashboard tools: Angular, React, Tableau, Looker, PowerBI.
  • 3+ years of experience delivering analytics solutions.
  • 3+ years of experience with Agile team methodology.
  • PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field.
  • Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem.
  • Experience with Neo4j development or related graph DB.
  • Experience with Product‑Driven Operating Model or Agile Product Development Process.
  • Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users.
  • Comfortable working in an environment where problems are not always well‑defined.
  • Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner.
  • Well‑organized, independent, and ready to work with minimal supervision.
  • Inquisitive, proactive, and interested in learning new tools and techniques.
  • Demonstrated hands‑on experience with deploying data products and/or analytic models in Ford’s on‑prem and/or Google Cloud Platform.
  • Demonstrated experience translating real‑world business problems into analytical formulations and interpreting analytics results with non‑analytics business partners.
  • Work experience in automotive industry is a big plus, as is experience in procurement, logistics, or program management function.
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