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Data Transformation Analyst Jobs (NOW HIRING)

Data Transformation Engineer

Addison, TX ยท On-site +1

$130K - $150K/yr

... analysis, and integration using Python Ability to work with multiple data sources and types ... and transformation tools like Coalesce, WhereScape, and Azure Data Factory Experience with data ...

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How much do data transformation analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data transformation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a data transformation analyst do?

A Data Transformation Analyst is responsible for converting, cleansing, and restructuring data from various sources to make it usable for analysis and business decision-making. They work with raw data, apply rules and mappings, and ensure data quality and consistency throughout the process. These professionals often collaborate with data engineers, analysts, and business stakeholders to define requirements and implement solutions that support reporting, analytics, or system migrations.

What are the key skills and qualifications needed to thrive as a data transformation analyst?

To thrive as a Data Transformation Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database concepts, often supported by a degree in computer science, information systems, or a related field. Experience with ETL (Extract, Transform, Load) tools, SQL, and data integration platforms like Informatica or Talend is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help set top performers apart. These skills are crucial for ensuring accurate data migration, facilitating seamless business operations, and enabling informed decision-making.

What are some typical challenges data transformation analysts face when integrating data from multiple sources?

Data Transformation Analysts often encounter challenges such as inconsistent data formats, missing or incomplete information, and varying data quality standards across different sources. Addressing these issues requires strong problem-solving skills and close collaboration with data engineers and business stakeholders to clarify requirements and resolve discrepancies. Successfully navigating these challenges ensures that the transformed data is accurate, reliable, and ready for downstream analysis or reporting.

What are the most commonly searched types of Data Transformation Analyst jobs?

The most popular types of Data Transformation Analyst jobs are:

What are popular job titles related to Data Transformation Analyst jobs?

For Data Transformation Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Transformation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Transformation Engineer

Addison, TX โ€ข On-site, Remote

Confie
Insurance Servicesย โ€ขย 1 - 5K employees

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Key responsibilities

  • Design and develop data pipelines and ELT workflows to populate the Data Lake and Data Warehouse on Snowflake.

  • Translate business requirements into technical specifications and develop robust, scalable data models and schemas within Snowflake.

  • Monitor, optimize, and troubleshoot data pipelines, queries, and Snowflake data objects to ensure data quality, performance, and timely data availability.


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 talent@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