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Data Transformation Jobs (NOW HIRING)

BOK Financial

Data Transformation Lead

Tulsa, OK · On-site

The Data Transformation Lead partners with leaders in Data Governance, Cloud Engineering, Analytics, and broader IT to drive enterprise data and AI outcomes. This role focuses on stakeholder ...

BOK Financial

Data Transformation Lead

Tulsa, OK · On-site

The Data Transformation Lead partners with leaders in Data Governance, Cloud Engineering, Analytics, and broader IT to drive enterprise data and AI outcomes. This role focuses on stakeholder ...

BOK Financial

Data Transformation Lead

Tulsa, OK · On-site

The Data Transformation Lead partners with leaders in Data Governance, Cloud Engineering, Analytics, and broader IT to drive enterprise data and AI outcomes. This role focuses on stakeholder ...

Uber

People Data Transformation Analyst

Sunnyvale, CA · On-site +1

About the Role The People Data Transformation Analyst will be responsible for preparing and transforming workforce/people data to support HR processes and technology improvements. As a critical ...

Uber

People Data Transformation Analyst

Dallas, TX · On-site +1

About the Role The People Data Transformation Analyst will be responsible for preparing and transforming workforce/people data to support HR processes and technology improvements. As a critical ...

Winaxis

Regulatory Data Transformation PM

New York, NY · On-site

$56.50 - $76.50/hr

Regulatory Data Transformation PM Location is New York, NY. this is onsite job from day 1. We are looking for a qualified Project Manager to support either of the following two areas: a) use case ...

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All JobsData Transformation Jobs

Data Transformation information

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$46K

$165K

$243.5K

How much do data transformation jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data transformation in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles that involve strategic decision-making, leadership, and advanced skills in data management, analytics, and tools like SQL, Python, or cloud platforms tend to be the most lucrative.

What is the role of data transformation?

The role of data transformation in data transformation jobs involves converting data from its original format into a suitable format for analysis, storage, or processing. This process often includes cleaning, normalizing, and structuring data using tools like ETL (Extract, Transform, Load) software to ensure data quality and consistency for decision-making or further analysis.

Is 40 too late for data science?

Data transformation roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Learning relevant tools like SQL, Python, and data visualization can help, and certifications or projects demonstrate capability regardless of age.

What is a Data Transformation job?

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.

More about Data Transformation jobs
What cities are hiring for Data Transformation jobs? Cities with the most Data Transformation job openings:
What are the most commonly searched types of Data Transformation jobs? The most popular types of Data Transformation jobs are:
What states have the most Data Transformation jobs? States with the most job openings for Data Transformation jobs include:
What job categories do people searching Data Transformation jobs look for? The top searched job categories for Data Transformation jobs are:
Data Transformation jobs near you
Infographic showing various Data Transformation job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 31% Full Time, 53% Part Time, 11% Contract, and 1% Nights. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Project Manager (Data Transformation)

Stellar IT Group

Saint Louis, MO • On-site

$50.25 - $68/hr

Full-time

Posted 25 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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