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Data Transformation Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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.

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.

Data Transformation Engineer

Confie

Addison, TX • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Pay Range:
  • $130000 - $150000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director of Enterprise Architecture to build Confie's next-generation Enterprise Data Solutions. Require expertise in implementing and maintaining data solutions on Snowflake data cloud environments that drive critical business insights and operations. Responsible for developing robust data models, creating efficient ELT processes, and optimizing performance to support the organization's data needs
Essential Duties & Responsibilities
Design and develop data pipelines, ELT workflows to populate the cloud 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 requirements into technical specifications; establish and define details, definitions, and requirements of applications, components, and enhancements
Design and develop robust and scalable data pipelines to support data integrations using Snowflake, Coalesce, Python, Airflow, and Fivetran
Design and develop Snowflake data objects (tables, views, stored procedures, udf's, etc.)
Implement ELT (Extract, Load, Transform) processes using Snowflake's features, such as SnowPipe, Streams, and Tasks
Perform data cleaning, analysis, and integration using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Design and implement efficient data models and schemas within Snowflake to support reporting, analytics, and business intelligence needs
Monitor and optimize query performance and resource utilization within Snowflake using query profilling, query optimization techniques, and workload management features
Identify and resolve performance bottlenecks and optimize data warehouse configurations for maximum efficiency
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
Monitor data pipelines for timely and accurate completion
Stay up-to-date with industry trends and advancements in data engineering, continuously improving the team's technical knowledge and skills
On-call support
Qualifications and Education Requirements
4+ years of professional experience in data engineering, designing and implementing data pipelines, and building data infrastructure
4+ years of strong experience required in Snowflake data cloud and ETL development, including Snowflake procedures, udf's in Python and SQL, streams, tasks, Snowpipe, and working with semi-structured data
3+ years of strong experience with Python programming and extensively used frameworks/packages like Snowpark, pandas, numpy, and requests for Data Analysis and integration
Solid understanding of data warehousing concepts, dimensional modeling, and data integration techniques
2+ years of strong experience with data integration and transformation tools like Coalesce, WhereScape, and Azure Data Factory
Experience with data quality and observability concepts is a plus
Bachelor's degree in Computer Science, Engineering, or a related field
Snowflake Advanced Certification is a plus
Additional certifications related to data platforms are a plus
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008