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Full Time Data Transformation Jobs (NOW HIRING)

Global Master Data Transformation Internship For our Global Headquarters in Milan, Amplifon is ... Competitive monthly reimbursement. * Full time experience, Monday to Friday from 9am to 6pm (light ...

Data Architect

Atlanta, GA

$62.50 - $80.50/hr

Design and manage data transformation and processing workflows using tools like Fabric Spark ... UNAVAILABLEEmployment Type: FULL_TIME

Data Engineer

$120K - $155K/yr

Job Type Full-time Description The Data Engineer is responsible for supporting data integration, data management, and data infrastructure activities for healthcare transformation, public health, and ...

Job Title: IT Audit Consultant - Data Governance and Transformation Duration: 6-Month Contract (Potential for Extension/Conversion to Full-Time) Location: Remote (US-based working Eastern Standard ...

Data Solutions Specialist

Boston, MA · Remote

$65K - $70K/yr

Full-time | Data & Analytics **About the role** Data is at the heart of everything we do. As a Data ... transformation scripts, and automation tooling using Groovy or similar languages - Lead technical ...

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Full Time Data Transformation information

What are the key skills and qualifications needed to thrive as a Full Time Data Transformation Specialist, and why are they important?

To excel as a Full Time Data Transformation Specialist, you need strong analytical skills, proficiency in data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools (such as Informatica, Talend, or Apache NiFi), SQL, and cloud data platforms is typically required, along with certifications in data management or analytics. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These competencies ensure accurate, efficient data integration and enable organizations to make data-driven decisions.

What are some common challenges faced in a Full Time Data Transformation role, and how can I prepare for them?

In a Full Time Data Transformation role, you may encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data quality throughout the transformation process. It’s important to develop strong problem-solving skills and familiarity with ETL tools, as well as a solid understanding of data governance and documentation practices. Collaborating effectively with data engineers, analysts, and business stakeholders is also crucial to ensure that transformed data meets organizational needs. Staying updated on best practices and being adaptable to evolving technologies will help you succeed and grow in this field.

What is a Full Time Data Transformation job?

A Full Time Data Transformation job involves converting data from one format, structure, or system to another to ensure it is accurate, consistent, and usable for analysis or business processes. Professionals in this role typically work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms. They collaborate with data engineers, analysts, and business stakeholders to design workflows that streamline data integration, migration, or cleansing. This role is crucial in organizations that rely on data-driven decision-making, as it ensures high-quality, accessible data across systems.

What is the difference between Full Time Data Transformation vs Data Analyst?

AspectFull Time Data TransformationData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with ETL toolsBachelor's in Statistics, Business, or related field; proficiency in Excel and SQL
Work EnvironmentData teams, IT departments, project-basedBusiness units, reporting teams, cross-functional
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare
Common Search/ComparisonFull Time Data Transformation vs Data Analyst

Full Time Data Transformation roles focus on designing and implementing data pipelines, ETL processes, and data integration. Data Analysts primarily analyze data to generate reports and insights. While both roles require data skills, Data Transformation emphasizes data engineering tasks, whereas Data Analysts focus on data interpretation and visualization.

More about Full Time Data Transformation jobs
What cities are hiring for Full Time Data Transformation jobs? Cities with the most Full Time Data Transformation job openings:
What are the most commonly searched types of Data Transformation jobs? The most popular types of Data Transformation jobs are:
Infographic showing various Full Time Data Transformation job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
People Data Transformation Analyst

People Data Transformation Analyst

Uber

San Francisco, CA • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.


Uber rating

7.2

Company rating: 7.2 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

3rd of 9 rated taxi private hire


Job description

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 member of the People Data team, you will empower leaders to make higher-quality decisions using people data as a core foundation. This role focuses on the complex data transformation required as part of the overall HR transformation initiatives.
What You'll Do
- Support driving People technology program efficiency by transforming data into actionable decisions and execution frameworks
- Functionally support people data transformation programs and activities(e.g. define data standards and ensure data supports HR processes and technology)
- Support Data Mapping & Lineage: Document detailed transformation rules and field mappings between People systems. Manage detailed mapping for core HR fields to ensure critical data infrastructure remains robust
- Data Integrity/Audit and Maintenance: support people data integrity efforts. Audit and update the HR Data Structures to ensure data integrity
- Stakeholder Enablement: Provide techno-functional enablement for People tech programs related to people data
- Project Management & Reporting Support: Conduct custom analysis and provide accurate reports to leadership to inform talent strategy and organizational movement. Conduct project management across the data workstream.
Basic Qualifications
- 4+ years of work experience in finance analytics, business analytics, data analytics, or within a similar field
- 4+ years of experience with HR processes, technology and people components with data experience at the core
- Bachelor's Degree in HR or data-related field
Preferred Qualifications
- HR Process, Systems & Data Knowledge: Experience with HR Processes, HR Information Systems (HRIS), specifically Workday or Oracle HCM, is highly preferred.
- People Data: Experience with HR/people data functionally and technically
- Execution and Detail Orientation: Strong ownership mentality, strong execution capability, and detail orientation
- Strong Project delivery capability: demonstrated experience in delivering HR and people data programs in fast-moving and dynamic environments
- Mapping & Lineage: Document detailed transformation rules and field mappings between legacy systems and Oracle HCM.
- Data Integrity: Clearly explain differences in record counts between legacy and new systems, including filtering logic, consolidation, deduplication, and business rules.
- Audit & Maintenance: Audit and update the HR Data Structure Worksheet to ensure Workday-to-Oracle mapping remains current following system design changes and testing cycles.
- Core Field Management: Manage detailed mapping for P0/P1 Core HR fields to ensure critical data infrastructure remains robust.
- Issue Resolution: Identify and resolve bugs or defects in the issue log that stem from mapping discrepancies between Workday, Oracle, and the BRAIN data warehouse.
- Stakeholder Enablement: Provide functional enablement to the People Analytics team to help them understand design changes and redesign dashboards effectively.
- Project Management & Reporting Support: Conduct custom analysis and provide accurate reports to leadership to inform talent strategy and organizational movement. Conduct project management across the data workstream.
- Experience with SQL
- Experience with Tableau and/or a similar data visualization tool
For Dallas, TX-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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