2

Full Time Data Transformation Jobs (NOW HIRING)

Remote - United States Schedule: Full-time Department: Product Implementation Compensation: $80,000 ... Build, optimize, and troubleshoot complex SQL queries and data transformation processes * Configure ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time position, Exempt

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... SQL and complex data transformation logic to support analytics and reporting. 8)Monitor ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time position, Exempt

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior ... This position requires a deep understanding of data transformation and the ability to create ...

Data Engineer III

Irvine, CA · On-site

$121K - $145K/yr

They are seeking a full-time Data Engineer III to work in a collaborative environment focused on ... PL/SQL workloads, transformation processes, and data flows to support scalable analytics ...

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior ... This position requires a deep understanding of data transformation and the ability to create ...

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

The role involves designing, building, and maintaining test pipelines, data transformation or ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

$86K - $130K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

The role involves designing, building, and maintaining test pipelines, data transformation or ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Berkeley Heights, NJ / Alpharetta, GA (5days onsite) Hiring Type: Full-Time Job Summary We are seeking a visionary Senior Data Architect to lead our enterprise-wide data transformation. You will be ...

$86K - $130K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

Showing results 41-60

Full Time Data Transformation information

What is a full time data transformation?

A Full Time Data Transformation job involves converting data from one format, structure, or system to another to ensure it is accurate, consistent, and usable for analysis or business processes. Professionals in this role typically work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms. They collaborate with data engineers, analysts, and business stakeholders to design workflows that streamline data integration, migration, or cleansing. This role is crucial in organizations that rely on data-driven decision-making, as it ensures high-quality, accessible data across systems.

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

To excel as a Full Time Data Transformation Specialist, you need strong analytical skills, proficiency in data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools (such as Informatica, Talend, or Apache NiFi), SQL, and cloud data platforms is typically required, along with certifications in data management or analytics. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These competencies ensure accurate, efficient data integration and enable organizations to make data-driven decisions.

What are some common challenges faced in a full time data transformation role, and how can I prepare for them?

In a Full Time Data Transformation role, you may encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data quality throughout the transformation process. It’s important to develop strong problem-solving skills and familiarity with ETL tools, as well as a solid understanding of data governance and documentation practices. Collaborating effectively with data engineers, analysts, and business stakeholders is also crucial to ensure that transformed data meets organizational needs. Staying updated on best practices and being adaptable to evolving technologies will help you succeed and grow in this field.

What is the difference between Full Time Data Transformation vs Data Analyst?

AspectFull Time Data TransformationData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with ETL toolsBachelor's in Statistics, Business, or related field; proficiency in Excel and SQL
Work EnvironmentData teams, IT departments, project-basedBusiness units, reporting teams, cross-functional
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare
Common Search/ComparisonFull Time Data Transformation vs Data Analyst

Full Time Data Transformation roles focus on designing and implementing data pipelines, ETL processes, and data integration. Data Analysts primarily analyze data to generate reports and insights. While both roles require data skills, Data Transformation emphasizes data engineering tasks, whereas Data Analysts focus on data interpretation and visualization.

More about Full Time Data Transformation jobs

What cities are hiring for Full Time Data Transformation jobs?

Cities with the most Full Time Data Transformation job openings:

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

The most popular types of Data Transformation jobs are:

Infographic showing various Full Time Data Transformation 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 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer (Implementation & Integration)

Meduit

Remote

$80K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Meduit rating

7.1

Company rating: 7.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

About Us:
Meduit is a national leader in healthcare revenue cycle management, supporting hospitals and physician practices in 48 states. We focus on optimizing payments, allowing clients to focus on patient care, and pride ourselves on our core values: Integrity, Teamwork, Continuous Improvement, Client-Focused, and Results-Oriented. Learn more at www.meduitrcm.com.
About the Role:
The Data Implementation Engineer is responsible for designing, developing, and maintaining data integration solutions that implement client data from hospital systems into Meduit platforms, including data warehouses, mapping tools, payment portals, and collections systems. This role leverages Python, SQL, ETL technologies, and data modeling expertise to transform, validate, and optimize data workflows. The Data Implementation Engineer partners with Operations, Workflow, Technical Support, and Account Management teams to support client implementations, scalable data architecture, and ongoing data quality across systems.
Title: Data Implementation Engineer
Location: Remote - United States
Schedule: Full-time
Department: Product Implementation
Compensation: $80,000 - $95,000
Key Responsibilities:
  • Develop and maintain Python-based scripts, utilities, and automation solutions to support data integration, transformation, validation, and reporting
  • Design, develop, and maintain logical and physical data models that support scalable data integration and reporting requirements
  • Analyze source system data structures and translate business requirements into efficient data models and database schemas
  • Build, optimize, and troubleshoot complex SQL queries and data transformation processes
  • Configure and maintain ETL processes across multiple structured and unstructured data sources
  • Support data warehouse development and ongoing improvements to data architecture and performance
  • Ensure ongoing data integrity, quality, and governance across client implementations and internal systems

Required Qualifications:
  • Bachelor's degree in Mathematics, MIS, Computer Science, Statistics, Data Analytics, or a related technical field, or equivalent experience
  • 3+ years of experience designing and supporting ETL processes across complex data environments
  • 2+ years of professional experience developing solutions using Python
  • Strong experience with SQL and relational database systems such as MySQL, Microsoft SQL Server, PostgreSQL, or similar platforms
  • Experience designing and maintaining logical and physical data models
  • Experience with data transformation, mapping, and integration processes
  • Experience working with ETL tools such as Talend Data Integration or similar technologies
  • Strong analytical, troubleshooting, and problem-solving skills

Preferred Qualifications:
  • Experience developing Python-based data pipelines and automation solutions
  • Experience working with Snowflake and AWS environments
  • Experience with dimensional modeling, star schemas, and data warehouse design
  • Experience with Revenue Cycle Management, EDI, X12, or patient accounting systems
  • Knowledge of claims and billing processes within healthcare environments
  • Familiarity with modern data architecture and cloud-based analytics platforms

Employment eligibility:
  • Candidates must be legally authorized to work in the United States at the time of hire
  • The company does not provide employment visa sponsorship for this position
  • As a condition of employment, a pre-employment background check will be conducted
  • At this time, we are unable to consider candidates residing in the state of New York for this position

What We Offer:
  • Comprehensive paid training
  • Medical, dental, and vision insurance
  • HSA and FSA available
  • 401(k) with company match
  • Paid Wellness Time and Holidays
  • Employer paid life insurance and long-term disability
  • Internal growth opportunities

Meduit is an Equal Opportunity Employer. We do not discriminate based on any protected class and welcome applicants from all backgrounds, consistent with applicable laws.
#LI-remote
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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.

What Meduit employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom