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Remote Data Transformation Jobs (NOW HIRING)

Data Transformation Engineer

Addison, TX ยท On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... cloud Data Lake and Data Warehouse on Snowflake with transformation tools (e.g., Coalesce ...

Data Processing Programmer

Renton, WA ยท On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong experience with Quadient Inspire, modern data hygiene platforms, and data transformation processes ...

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join ... Experience working with JSON for data transformation. Hands-on experience with ETL processes and ...

This position plays a supporting role in the modernization and transformation of the Annuity ... You will design and develop data & analytics solutions using cutting-edge tools to improve data ...

Responsibilities & Tasks The Data Analyst will assist in our efforts to create analytical solutions ... transformation, testing, and implementation. Open to learning new tools and technologies. Able to ...

This position plays a supporting role in the modernization and transformation of the Annuity ... You will design and develop data & analytics solutions using cutting-edge tools to improve data ...

Data Engineer (Remote)

Baltimore, MD ยท Remote

$117K - $140K/yr

Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs. * Design and optimize data schemas to ensure performance ...

Senior Data Analyst (Remote)

San Diego, CA ยท Remote

$91K - $115K/yr

... Remote-First Places to Work . Firstup believes in the power of data to produce great business ... Experience with dbt or similar tool for data transformation * Experience wrangling imperfect data ...

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los ... This role involves dbt development, data transformation, pipeline validation and Snowflake ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Data Transformation and Processing: * Develop data transformation processes using BigQuery, Apache ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - GCP

Atlanta, GA ยท Remote

$117K - $140K/yr

Data Transformation and Processing: * Develop data transformation processes using BigQuery, Apache ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Data Transformation and Processing: * Develop data transformation processes using BigQuery, Apache ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer

Bellevue, WA ยท Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and ... Write and optimize SQL queries and stored procedures for data transformation and analysis.

ERP Data Management Architect

$65.25 - $84/hr

US-Remote Description The Data Management Architect supports the business plan by enabling ... Analyzing legacy systems and design strategies for efficient data transformation and migration.

Data Engineer - Remote

Dallas, TX ยท On-site +1

$105K - $126K/yr

Familiarity with data transformation frameworks such as dbt, PySpark, or Snowpark * Experience with data visualization tools like Tableau or Looker * Working knowledge of Git and CI/CD best practices

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Remote Data Transformation information

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is the difference between Remote Data Transformation vs Remote Data Analyst?

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

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

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What is a remote data transformation?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.
More about Remote Data Transformation jobs
What cities are hiring for Remote Data Transformation jobs? Cities with the most Remote Data Transformation job openings:
What are the most commonly searched types of Data Transformation jobs? The most popular types of Data Transformation jobs are:
What states have the most Remote Data Transformation jobs? States with the most job openings for Remote Data Transformation jobs include:
Infographic showing various Remote Data Transformation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Transformation Engineer

Confie

Addison, TX โ€ข On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 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