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Remote Data Conversion Developer Jobs (NOW HIRING)

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection. This is a remote Data Engineering role focused on building and ...

* 100% Remote. Our client in Richmond, VA is seeking Oracle Apex developer (788519) For a contract ... Required 10 Years Experience in developing scripts in SQL, PLSQL for data conversion, data ...

* 100% Remote. Our client in Richmond, VA is seeking Oracle Apex developer (788519) For a contract ... Required 10 Years Experience in developing scripts in SQL, PLSQL for data conversion, data ...

* 100% Remote. Our client in Richmond, VA is seeking Oracle Apex developer (788519) For a contract ... Required 10 Years Experience in developing scripts in SQL, PLSQL for data conversion, data ...

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at ... Strong grasp of MLOps practices and software engineering principles. * Experience with Snowflake ...

* 100% Remote. Our client in Richmond, VA is seeking Oracle Apex developer (788519) For a contract ... Required 10 Years Experience in developing scripts in SQL, PLSQL for data conversion, data ...

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110.10K - $132.20K/yr

Data Engineer Location: Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data ...

* 100% Remote. Our client in Richmond, VA is seeking Oracle Apex developer (788519) For a contract ... Required 10 Years Experience in developing scripts in SQL, PLSQL for data conversion, data ...

* 100% Remote. Our client in Richmond, VA is seeking Oracle Apex developer (788519) For a contract ... Required 10 Years Experience in developing scripts in SQL, PLSQL for data conversion, data ...

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Remote Data Conversion Developer information

See salary details

$11K

$110K

$139.5K

How much do remote data conversion developer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data conversion developer in the United States is $110,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Conversion Developer, and why are they important?

To thrive as a Remote Data Conversion Developer, you need strong programming skills (often in SQL, Python, or ETL tools), data mapping expertise, and an understanding of database structures, typically backed by a degree in computer science or related experience. Familiarity with data conversion platforms such as Informatica, Talend, or SSIS, and certifications in relevant tools or cloud services, are commonly required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating remotely and managing complex data processes. These skills ensure accurate, efficient data transformations and seamless integration across diverse systems in a distributed work environment.

What are some common challenges faced by Remote Data Conversion Developers when working with legacy data systems?

Remote Data Conversion Developers often encounter challenges such as inconsistent data formats, incomplete or corrupted datasets, and undocumented legacy systems. Successfully converting and migrating data requires problem-solving skills to map and validate data accurately, as well as strong communication with business analysts and system owners to clarify requirements and resolve ambiguities. Additionally, thorough testing and quality assurance are essential to ensure data integrity throughout the conversion process.

What is a Remote Data Conversion Developer?

A Remote Data Conversion Developer is a professional who specializes in transforming data from one format or system to another, often working from a remote location. Their main responsibilities include analyzing existing data structures, designing conversion processes, writing scripts or software to automate data migration, and ensuring data integrity during the conversion. They typically work with databases, data warehouses, or legacy systems to facilitate seamless data transitions during system upgrades or platform changes. Strong skills in programming, data analysis, and problem-solving are essential for this role.

What is the difference between Remote Data Conversion Developer vs Data Analyst?

AspectRemote Data Conversion DeveloperData Analyst
Required CredentialsTypically requires programming skills, data conversion tools, and sometimes certifications in data managementRequires analytical skills, proficiency in data visualization, and often a degree in statistics or related fields
Work EnvironmentPrimarily technical, focused on data transformation, ETL processes, and scriptingAnalytical, focused on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in IT, data management, and software development sectorsCommon in finance, marketing, healthcare, and business intelligence sectors

The main difference is that Remote Data Conversion Developers focus on transforming and converting data using technical skills, while Data Analysts interpret and analyze data to support decision-making. Both roles may work remotely and require familiarity with data tools, but their core responsibilities differ significantly.

More about Remote Data Conversion Developer jobs
What cities are hiring for Remote Data Conversion Developer jobs? Cities with the most Remote Data Conversion Developer job openings:
What are the most commonly searched types of Data Conversion Developer jobs? The most popular types of Data Conversion Developer jobs are:
What states have the most Remote Data Conversion Developer jobs? States with the most job openings for Remote Data Conversion Developer jobs include:
What job categories do people searching Remote Data Conversion Developer jobs look for? The top searched job categories for Remote Data Conversion Developer jobs are:
Infographic showing various Remote Data Conversion Developer job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $110,000 per year, or $52.9 per hour.

$170K - $180K/yr

Full-time

Posted 18 days ago


Job description

AI Data Engineer- HealthTech AI
Up to $180,000 | U.S (Remote) | Full-Time
Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection.
This is a remote Data Engineering role focused on building and maintaining scalable pipelines that ingest, clean, and structure large, complex healthcare datasets.
What You'll Do
  • Work with Data Scientists and ML Engineers to define data needs for LLM and ML models.
  • Build and maintain scalable data pipelines for large healthcare datasets.
  • Ensure data quality through cleaning, validation, and monitoring.
  • Design efficient data structures and schemas for model training and use.
  • Source new data while ensuring compliance with healthcare regulations (e.g., HIPAA)

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience as a Data Engineer working with large-scale or big data systems such as Apache Spark
  • Strong programming skills in Python, Scala, or Java.
  • Experience with ETL pipelines, data warehousing, and data modelling.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and tools like Apache Spark.
  • Strong problem-solving skills

Nice to Have
  • Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Experience working with healthcare data and standards such as FHIR or HL7.
  • Familiarity with machine learning concepts and LLM fine-tuning workflows.
  • Experience using data orchestration tools such as Apache Airflow.

Why Join?
  • Help shape the future of healthcare by building AI that improves early cancer detection and saves lives.
  • Work on high-impact, real-world AI used directly in clinical settings at scale.
  • Competitive salary, benefits, and flexible remote/hybrid working options.
  • Join a mission-driven, fast-growing team focused on innovation and health equity.
  • Continuous learning with exposure to cutting-edge AI, ML, and healthcare technologies.