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Data Transformation Jobs in Texas (NOW HIRING)

Randstad Digital

Data Transformation Engineer

Addison, TX · On-site

$54.62 - $64.62/hr

I&DS Operational Datastores and Real-time data Replication team looking for experienced Data Transformation Engineer to design, develop, modernize, and support enterprise-scale data integration and ...

Confie

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

... Data Lake and Data Warehouse on Snowflake with transformation tools (e.g., Coalesce, WhereScape, Azure Data Factory) and replication tools (e.g., Fivetran, Airbyte, etc.) Translate business ...

Motion Recruitment

Data & AI Architect | Azure

Frisco, TX · On-site

$60 - $77.25/hr

The team is actively building intelligent data pipelines where AI agents handle key parts of the transformation lifecycle, giving this role direct influence over next-generation data platforms. They ...

JLL

Data Integration Specialist

Austin, TX · On-site

Strong data transformation skills across various software CRE platforms and tools * Demonstrated ability to work effectively in matrix environment with cross-functional teams. * Experience working in ...

JLL

Data Integration Specialist

Dallas, TX · On-site

Strong data transformation skills across various software CRE platforms and tools * Demonstrated ability to work effectively in matrix environment with cross-functional teams. * Experience working in ...

AaraTechnologies Inc

DATA ENGINEER

Texas City, TX · On-site

$98K - $117K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

Cymertek

Data Conditioning Systems Engineer

San Antonio, TX · On-site

$104K - $125K/yr

The ideal candidate will have a strong understanding of data workflows, data transformation, and system integration, as well as a passion for optimizing data pipelines. If you are driven to work on ...

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Data Transformation information

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 Texas? For Data Transformation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Transformation jobs in Texas look for? The top searched job categories for Data Transformation jobs in Texas are:
Data Transformation jobs near you
Infographic showing various Data Transformation job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Transformation Engineer

Randstad Digital

Addison, TX • On-site

$54.62 - $64.62/hr

Other

Medical, Dental, Vision, Life, Retirement

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

Job description

job summary:

The ideal candidate will have strong experience with IBM CloudPak for Data (CP4D) v4.5, IBM DataStage, Oracle, DB2, and advanced SQL/PLSQL development.


This role will be responsible for migrating, optimizing, and supporting critical data processing workloads while ensuring scalability, resiliency, performance, and data integrity. This is to handle a mix of 2026 Never Down Program as well as EOL technology migration program involving IBM Cloudpak 4 Data.


location: Addison, Texas
job type: Contract
salary: $54.62 - 64.62 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:

I&DS Operational Datastores and Real-time data Replication team looking for experienced Data Transformation Engineer to design, develop, modernize, and support enterprise-scale data integration and transformation solutions.


The ideal candidate will have strong experience with IBM CloudPak for Data (CP4D) v4.5, IBM DataStage, Oracle, DB2, and advanced SQL/PLSQL development.


This role will be responsible for migrating, optimizing, and supporting critical data processing workloads while ensuring scalability, resiliency, performance, and data integrity. This is to handle a mix of 2026 Never Down Program as well as EOL technology migration program involving IBM Cloudpak 4 Data.


qualifications:

Required Qualifications


12+ years of experience in Data Engineering, ETL Development, or Data Integration.


Strong expertise in IBM DataStage development.


Hands-on experience with IBM CloudPak for Data (CP4D) Version 4.5.


Advanced SQL and PL/SQL programming skills.


Strong experience with Oracle, DB2 database platforms.


Strong background in data transformation and data engineering.


Significant experience with Data Modeling.


Experience designing and supporting large-scale batch processing environments.


Strong troubleshooting, performance tuning, and data validation skills.


Experience working in Linux/Unix environments.


Excellent communication and stakeholder collaboration skills.


Familiarity with CDC (Change Data Capture) technologies.


Desired Qualifications


Experience in fast pace Agile Development Environment


Experience with Cloud


Experience with CI/CD pipelines and DevOps practices.


Familiarity with data replication, CDC, and real-time integration technologies.


Experience supporting mission-critical financial or enterprise data platforms.


Knowledge of data governance, SOX controls, and audit requirements.


Any Experience with Cockroach or MemSQL is a plus


Experience with Python-based scripting is a plus


Knowledge of Oracle Golden Gate is a plus


Knowledge of Git-Hub Copilot will be added plus.



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.

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