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Data Transformation Jobs in Missouri (NOW HIRING)

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

Implement data mapping, data transformation, automated testing and data validation. * Contribute and implement standards and best practices within the Data Engineering Team. * Write detailed stories ...

Data Engineer III

Cassville, MO · On-site

$88K - $105K/yr

This role requires expertise in data modeling, transformation, and integration across various data sources, ensuring data quality and governance compliance. You will collaborate with crossfunctional ...

Data Engineer III

Noel, MO · On-site

$94K - $113K/yr

This role requires expertise in data modeling, transformation, and integration across various data sources, ensuring data quality and governance compliance. You will collaborate with crossfunctional ...

Data Engineer III

Anderson, MO · On-site

$99K - $119K/yr

This role requires expertise in data modeling, transformation, and integration across various data sources, ensuring data quality and governance compliance. You will collaborate with crossfunctional ...

Lead transformation engagements from scope through implementation-defining project objectives ... Identify risks involving data quality, privacy, security, compliance, bias, hallucination, workflow ...

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities ... Perform operations to prepare data for analysis (e.g., data cleansing, data integration, data ...

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others ...

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise ...

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections ...

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others ...

Showing results 21-40

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 job categories do people searching Data Transformation jobs in Missouri look for? The top searched job categories for Data Transformation jobs in Missouri are:
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, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,788 per year, or $74.4 per hour.

Data Analytics Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 7 days ago


Job description

*** Must be a US Citizen or Green Card only Applicant ****
The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house transactional databases to a Data Warehouse to enable actionable business insights.The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical resource with effective communication and leadership skills to be a member of data engineering team. The role requires collaboration with cross functional teams and ability to play multiple roles depending upon the situation.The ideal candidate should have strong bias for action, able to dig into details when requirements are fuzzy and have a passion to push forward to progress. If you are an ambitious technologist who is looking to grow, and who is passionate about building world-class products and technology, we encourage you to apply for this exciting opportunity.
What You'll Do
    • Implementation of data ingestion pipelines following the guidelines and best practices defined.
    • Implement data mapping, data transformation, automated testing and data validation.
    • Contribute and implement standards and best practices within the Data Engineering Team.
    • Write detailed stories, sprint grooming and actively contribute in the Agile software development life cycle.
    • Accountable for Delivery and 100% uptime of the Environments.
    • Collaborate with cross-functional teams, including ecosystem leadership and data insights teams, engineering, sales, and marketing to ensure all stakeholders are aligned.
    • Partner with scrum master daily to provide updates.
    • Partner with Data Insights team on a daily basis to stay aligned on priorities.
    • Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
    • Establish and maintain effective communication channels with internal and external stakeholders.
What You'll Need to Succeed
    • BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
    • Minimum of (3) three years ofSDLC experience in ETL/ELT environments with tools/technologies such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI , Git.
    • Ability to work on-site at least two days a week in St. Louis, MO.
    • Minimum of (2) years of experience in building out schemas for Analytical purposes.
    • Minimum (1) years of hands on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python.
    • Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua.
    • Strong development background and expert level skills with modern SDLC best practices.
    • Proven track record of delivering successful data initiatives.
    • Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
    • Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
    • Experience working in a fast-paced, agile environment.
    • Ability to prioritize and manage multiple projects simultaneously.