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Data Transformation Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

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:

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

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:

Reply

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

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Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site

$111K - $134K/yr

Fine-tune SQL queries and data transformations for optimal performance * Monitor and improve pipeline efficiency and resource utilization Technical Documentation * Create and maintain clear ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site

$95 - $135/hr

Fine-tune SQL queries and data transformations for optimal performance * Monitor and improve pipeline efficiency and resource utilization Technical Documentation * Create and maintain clear ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Fine-tune SQL queries and data transformations for optimal performance * Monitor and improve pipeline efficiency and resource utilization Technical Documentation * Create and maintain clear ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Fine-tune SQL queries and data transformations for optimal performance * Monitor and improve pipeline efficiency and resource utilization Technical Documentation * Create and maintain clear ...

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Showing results 41-60

All JobsData Transformation JobsData Transformation Jobs in Missouri

Data Transformation information

See Missouri salary details

$43.1K

$154.8K

$228.4K

How much do data transformation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data transformation in Missouri is $154,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

What are the key skills and qualifications needed to thrive in the data transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What are popular job titles related to Data Transformation jobs in Missouri?

For Data Transformation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Transformation jobs in Missouri look for?

The top searched job categories for Data Transformation jobs in Missouri are:

Data Transformation jobs near you
Infographic showing various Data Transformation job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $154,788 per year, or $74.4 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • On-site

$113K - $136K/yr

Contractor

Re-posted 11 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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