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Professional Data Engineer Jobs in Missouri (NOW HIRING)

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 ... Support Project Management: Assist the Professional Services leader and project managers with ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering professional responsible for building and maintaining Focus's data consumption layer - the reports ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering professional responsible for building and maintaining Focus's data consumption layer - the reports ...

Pwc

Data Strategy & Governance -Director

Kansas City, MO · On-site

$155K - $410K/yr

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

New

Pwc

Data Strategy & Governance -Director

Saint Louis, MO · On-site

$155K - $410K/yr

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

New

Pwc

Data Engineer - Manager

Saint Louis, MO · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

PayIt

Data Engineer

Kansas City, MO

$100K - $125K/yr

In this position, you will work closely with other Data Engineers on your team and members of the ... Experience developing software professionally following agile methodologies (e.g., Scrum, Kanban ...

Pwc

Data Engineer - Manager

Kansas City, MO · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

Children's Mercy KC

Data Engineer - ICS

Kansas City, MO · On-site

$41.57/hr

Overview The Data Engineer is responsible for building and maintaining reliable data pipelines that ... Continuous learning is supported through professional development, documentation, and knowledge ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

Pwc

Data Engineer - Senior Manager

Saint Louis, MO

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

Pwc

Data Engineer - Senior Manager

Kansas City, MO

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

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Showing results 21-40

All JobsProfessional Data Engineer JobsProfessional Data Engineer Jobs in Missouri

Professional Data Engineer information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do professional data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for professional data engineer 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 is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data infrastructure, building data pipelines, and supporting data analytics. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to handle growing data workloads, making this a stable and growing career field.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

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 cities in Missouri are hiring for Professional Data Engineer jobs?

Cities in Missouri with the most Professional Data Engineer job openings:

Professional Data Engineer jobs near you

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • On-site

$113K - $136K/yr

Contractor

Re-posted 26 days ago

Job description


Location: United States - Remote
Employment Type: Full-Time and Contract
Data Engineer
Description:
As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.
The impact you will have:
  • Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
  • Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation.
  • Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.
  • Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority.
  • Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation.
  • Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements
Minimum qualifications:
  • Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience:
    • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP).
    • Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
    • Develop scalable streaming and batch solutions using cloud-native components.
    • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies.
    • Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.
  • Technical Skills:
    • Expert-level proficiency in Spark Scala, Python, and PySpark.
    • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
    • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
    • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.
  • Databricks Specific Skills:
    • Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
    • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
    • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
    • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.
  • Good to have Certifications:
    • Certification in Databricks Engineering (Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • GCP Certified: Professional Google Cloud Certified.
    • AWS Certified Solutions Architect Professional

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