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Remote Data Conversion Developer Jobs in Colorado

Data Engineer - Healthcare

Denver, CO · Remote

$117.90K - $141.50K/yr

Become a part of our caring community The Data Engineer 2 will develop scalable data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

As a secondary consideration, we do offer remote work in the following approved states: Colorado ... Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python ...

Clinical Data Engineer

Denver, CO · Remote

$85K - $100K/yr

Clinical Data Engineer - Remote, Must Live in State of Colorado Join Carina Health Network and help us make Colorado communities healthier! Are you passionate about population health and interested ...

Salesforce Developer

Centennial, CO · Remote

$57 - $75.50/hr

This position involves high level of collaboration with remote teams and stakeholders. Required ... Proficient in Salesforce best practices, data modeling, design patterns and design limitations.

Salesforce Developer

Englewood, CO · Remote

$55 - $73/hr

This position involves high level of collaboration with remote teams and stakeholders. Required ... Proficient in Salesforce best practices, data modeling, design patterns and design limitations.

Data Analyst

Denver, CO · On-site +1

$100K - $110K/yr

Work with teams of software developers to build tools for data visualization and analysis ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

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Remote Data Conversion Developer information

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.

What are popular job titles related to Remote Data Conversion Developer jobs in Colorado? For Remote Data Conversion Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Conversion Developer jobs in Colorado look for? The top searched job categories for Remote Data Conversion Developer jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Conversion Developer jobs? Cities in Colorado with the most Remote Data Conversion Developer job openings:

Senior Backend Engineer (C#) - AI Data Platform

Alignerr

Denver, CO • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Senior Backend Engineer (C#) - AI Data Platform
About the Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Backend Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models.
This is a fully remote, flexible contract role for a seasoned engineer who thrives on solving hard systems problems and wants their work to matter at scale.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
  • What You'll Do
    • Design, build, and optimize high-performance C# systems supporting large-scale AI data pipelines and evaluation workflows
    • Develop backend services and tooling for data annotation, validation, and quality control at scale
    • Improve the reliability, performance, and safety of existing C# codebases
    • Collaborate with data, research, and engineering teams to accelerate model training and evaluation
    • Identify and resolve bottlenecks and edge cases across data and system behavior
    • Participate in synchronous design reviews and iterate rapidly on architecture and implementation decisions
    Who You Are
    • 5+ years of professional experience building scalable backend services in C#
    • Strong systems programming background with full-stack development experience
    • Deep expertise in modern frameworks for RESTful APIs and RPC services
    • Experienced with cloud-native data services and message bus architectures for workflow orchestration
    • Native or fluent English speaker with clear written and verbal communication skills
    • Self-directed and reliable - able to commit 20-40 hours per week and deliver independently
    Nice to Have
    • Prior experience with data annotation platforms, data quality pipelines, or evaluation systems
    • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
    • Experience with distributed systems design or developer tooling
    • Background working directly with or alongside AI research teams
    Why Join Us
    • Work on real production systems used by leading AI research labs - not toy projects
    • Fully remote and asynchronous-friendly - work from wherever you do your best work
    • Flexible contract structure with meaningful, high-impact technical work
    • Collaborate with top engineers and researchers pushing the boundaries of AI
    • Potential for ongoing contract extensions as projects grow and new initiatives launch