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Data Transformation Jobs in Texas (NOW HIRING)

JLL

Data Integration Specialist

Austin, TX

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 ...

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 ...

ClifyX

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... transformation • Implement ELT workflows leveraging Snowflake architecture • Collaborate with analysts and business stakeholders to translate requirements into data solutions • Schedule and ...

Sagent

Data Services Analyst Sr

Dallas, TX

$85K - $107K/yr

Design, develop, lead, and support ETL data transformation. Deliver innovative BI and data warehouse solutions. Design, develop, test, and analyze modules or features of new systems and products.

New

Panelmatic

Data Analyst

Houston, TX · On-site

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to integrate and prepare data from ERP, MES, CRM, financial, operational, and manufacturing systems.

BravoTech

Data Management Manager

Dallas, TX · On-site

Partner with engineering and leadership on data platform transformation * Oversee migration to modern data platforms (Data Lake/Lakehouse) * Ensure compliance, data security, and regulatory standards

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Data Transformation information

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Science, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and relevant certifications.

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 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 includes tasks like cleaning, normalizing, and structuring data using tools such as ETL (Extract, Transform, Load) processes and scripting languages. Data transformation ensures data quality and consistency for effective decision-making and reporting.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge that AI tools currently cannot replicate. Skills in data visualization, statistical analysis, and understanding business context remain critical in this field.

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, along with building a portfolio, can help late entrants succeed 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.

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 July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
remote Data Transformation Lead

remote Data Transformation Lead

Marvel Technologies Inc

Austin, TX • On-site

Contractor

Posted 16 days ago

Job description

Data Transformation Lead

Austin, TX

12 months

I.  DESCRIPTION OF SERVICES

Texas Health and Human Services Commission requires the services of 1 Systems Analyst 3.Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

Job Details:

The Health and Human Services Commission (HHSC) requires the services of one (1) Cerner Millennium CCL and Data Transformation Lead to support Electronic Health Record (EHR) migration initiatives. This staff augmentation role provides a combination of Millennium data management expertise and hands on technical development and data extraction approaches within Cerner Millennium environments.

The Worker will ensure that clinical workflow intent and operational requirements are accurately translated into Cerner Command Language (CCL) logic, data extracts, and downstream reporting and analytics solutions. This position operates under HHSC direction, policies, and standards, and collaborates closely with clinical stakeholders, informatics governance bodies, and technical delivery teams to support EHR modernization, data migration, reporting, and legacy system retirement efforts.

Description of Services / Key Responsibilities:

The Worker will perform the following services, including but not limited to:

1. Assess, analyze, and document clinical workflows across inpatient, outpatient, and ancillary care settings.

2. Translate clinical and operational requirements into technical specifications for data extraction, reporting, and analytics solutions.

3. Design, develop, test, optimize, and maintain Cerner Command Language (CCL) scripts within Cerner Millennium environments.

4. Perform complex data extraction, validation, and reconciliation from Cerner Millennium Oracle schemas.

5. Support enterprise wide EHR data migration, reporting, and legacy system retirement initiatives.

6. Develop, maintain, and support structured data feeds, flat file extracts, and ETL processes.

7. Troubleshoot and resolve CCL performance issues and downstream data integration or reporting challenges.

8. Serve as a liaison between clinical informatics stakeholders and technical delivery teams to ensure accurate implementation of clinical intent.

9. Clearly communicate data limitations, technical constraints, and system dependencies to non technical audiences.

10. Execute and tune CCL scripts, manage batch jobs, and support production and non production environments in accordance with HHSC standards.

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

11

Required

Strong understanding of clinical workflows and healthcare operations.

11

Required

Demonstrated experience supporting large scale EHR implementations, migrations, or optimization initiatives.

11

Required

Proven ability to translate clinical requirements into technical and data specifications.

11

Required

Advanced, hands on experience with Cerner Command Language (CCL).

11

Required

Working knowledge of Cerner Millennium architecture and Oracle databases

11

Required

Experience with SQL, Linux, and enterprise data extraction or migration patterns.

11

Required

Experience designing and supporting ETL processes.

11

Required

Familiarity with healthcare data integrations and reporting environments.

11

Required

Experience with REST / SOA development.

11

Required

Knowledge of distributed systems, networking, and performance tuning.

11

Required

Experience writing, executing, and tuning CCL scripts in production environments.

11

Required

Experience with data extraction, system integration, and code development.

11

Required

Working knowledge of one or more of the following: Java, C, C++, Python, Perl, OCI.

11

Required

Hands on experience developing or supporting services on public cloud platforms (AWS, Azure, GCP, OCI).

11

Preferred

Experience supporting Cerner Millennium environments.

11

Preferred

Prior experience serving as a senior Cerner consultant or technical lead.