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Data Transformation Jobs in Missouri (NOW HIRING)

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:

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:

Jobgether

$88K - $106K/yr

In this role, you will design, build, and optimize cloud-based data pipelines while ensuring the reliable movement and transformation of structured and unstructured data. You'll work with modern AWS ...

Keeley Construction

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Proven experience delivering enterprise-scale data warehouse, analytics, and data transformation programs. * Deep expertise in Snowflake architecture, including storage and compute separation, micro ...

SS&C

Manager, Data Reporting

Kansas City, MO · Hybrid

Use Power Query to automate data extraction, transformation, and consolidation from multiple sources. * Develop interactive dashboards and executive reports in Excel. * Improve existing spreadsheets ...

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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 Aug 10, 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 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 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 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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,788 per year, or $74.4 per hour.

Project Manager (Data Transformation)

Stellar IT Group

Saint Louis, MO • On-site

$50.25 - $68/hr

Full-time

Re-posted 12 days ago

Job description

Overview:
Job Title: Project Manager (Data Transformation)
Job Type: FTE/Contract
Job Mode: Remote
Position Overview
We are seeking a highly motivated Project Manager with a strong background in data transformation initiatives to lead complex projects across enterprise environments. The ideal candidate will have proven expertise in managing large-scale data migration, integration, and transformation programs, with the ability to bridge technical execution and business strategy. Previous consulting experience is highly desirable, as this role requires strong stakeholder management, solution-oriented thinking, and the ability to deliver results in dynamic, client-facing settings.
Key Responsibilities
  • Lead end-to-end project management for data transformation initiatives, including planning, execution, and delivery.
  • Collaborate with data engineering, analytics, and business teams to define project scope, objectives, and success metrics.
  • Oversee data migration, integration, and transformation activities, ensuring accuracy, scalability, and compliance with enterprise standards.
  • Identify risks, dependencies, and bottlenecks, and proactively implement mitigation strategies.
  • Drive stakeholder alignment by facilitating workshops, design sessions, and executive updates.
  • Manage project budgets, timelines, and resources to ensure successful delivery.
  • Provide strategic input and thought leadership on data modernization, governance, and transformation best practices.
  • Document processes, lessons learned, and contribute to continuous improvement frameworks.

Required Skills & Experience
  • 8-12 years of experience in project management, with a focus on data transformation or data migration projects.
  • Strong understanding of ETL processes , data integration frameworks, and enterprise data platforms.
  • Demonstrated ability to manage cross-functional teams and complex technical projects.
  • Excellent communication, stakeholder management, and presentation skills.
  • Proficiency with project management methodologies (Agile, Waterfall, or hybrid approaches).
  • Solid problem-solving and analytical skills with a results-driven mindset.

Preferred Qualifications
  • Previous consulting experience in data transformation, digital modernization, or enterprise IT programs.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures.
  • Experience working in regulated industries with data governance and compliance requirements.
  • PMP, PRINCE2, or Agile certifications (preferred but not mandatory).

Skills:
Project Management Skills,Data Transformation

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