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Data Transformation Jobs in Missouri (NOW HIRING)

Healthcare Data Engineer, Team Lead

Kansas City, MO · On-site

$111K - $134K/yr

Design, build, and optimize SQL, Python, and Scala-based data transformation tools to support EHR migrations, data archiving, and data streaming initiatives. * Data Integration: Develop and maintain ...

New

Source-to-target mapping, data cleansing, enrichment, and transformation are core to your experience. * Hands-on experience with modern data platforms (ideally Snowflake) and CPM systems (ideally ...

New

Infrastructure Data Analytics Engineer

Earth City, MO

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data preparation, blending, and analytics automation. * Implement ...

Support contract data mapping, transformation logic, and migration from multiple systems into a single CLM platform * Develop, track, and maintain key performance indicators (KPIs) for business and ...

New

Data Analyst II

California, MO · On-site

$70 - $100/hr

Familiarity with data transformation tools such as dbt (a plus, not required) * Proficient in Tableau or similar data visualization tools with hands‑on dashboard development experience * Experience ...

New

$88K - $106K/yr

Use Python and SQL to develop data transformations, processing workflows, integrations, and analytical data solutions. * Design and manage data models and architectures that support scalability ...

Senior Data Analyst

California, MO · On-site

$90 - $130/hr

Advanced SQL, experience with BI tools (Mode, Tableau, Looker), and familiarity with data transformation tools (dbt) * Fluent in Salesforce and HubSpot data models, and comfortable working with the ...

New

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:

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:

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Showing results 1-20

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 20, 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.

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 84% Physical, 4% Hybrid, and 12% 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 22 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