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Remote Data Conversion Developer Jobs in Buffalo, NY

Data Scientist

Boston, NY ยท On-site +1

Work with engineering teams to operationalize data science workflows, ensuring scalability and ... Remote and Hybrid work environments. * Robust benefits including full medical, dental and vision ...

Mainframe Systems Programmer

Buffalo, NY ยท On-site +1

$95K - $177K/yr

Req ID: 372241 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... remote position, but you must have the required Mainframe experience to be considered. This ...

Technology Consulting Manager

Buffalo, NY ยท On-site +1

$95K - $222K/yr

... a remote position, but you must have the required CICS experience to be considered. A Mainframe ... data is retrievable in an emergency). Required Qualifications * 10+ CICS System Programmer or ...

Technology Consulting Manager

Buffalo, NY ยท On-site +1

$95K - $222K/yr

... a remote position, but you must have the required CICS experience to be considered. A Mainframe ... data is retrievable in an emergency). Required Qualifications * 10+ CICS System Programmer or ...

Admissions Advisor

Buffalo, NY ยท Remote

$18 - $24.25/hr

Experience working in a remote or call center environment. What This Role Drives * Daily lead conversion * Enrollment volume * Revenue generation * Pipeline efficiency * Data integrity in Salesforce ...

Salesforce Engineer

Buffalo, NY ยท Remote

$53.75 - $71.25/hr

Remote Hire Type : Contingent Pay Ra t e: $ 8 0 .00 /hour on W2 Work Model : Remote Contact Email ... Prepare and review test data and execute detailed test plans. * Complete any required debugging.

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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Remote Data Conversion Developer information

See Buffalo, NY salary details

$10.7K

$106.6K

$135.1K

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

As of Aug 30, 2026, the average yearly pay for remote data conversion developer in Buffalo, NY is $106,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $130,800.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote data conversion developer?

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 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 Buffalo, NY?

For Remote Data Conversion Developer jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Conversion Developer jobs in Buffalo, NY look for?

The top searched job categories for Remote Data Conversion Developer jobs in Buffalo, NY are:

Data Solutions Architect

Imagine Staffing Technology

Buffalo, NY โ€ข Remote

Full-time

Re-posted 14 days ago


Job description

Job TitleData Solutions Architect
LocationRemote
Hire TypeContingent 
Target Hourly Rate$80.00/hour
Work ModelRemote (with travel to Buffalo, NY every 4-6 weeks)
Contact Emailbfesmire@imaginestaffing.net
 
No C2C, C2H, 1099 or Visa Sponsorship/Transfer available
 
Nature & Scope:
Positional Overview
We are seeking a visionary Data Solutions Architect to help lead the design and delivery of enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.
 
Role & Responsibility:
Tasks That Will Lead To Your Success
 
  • Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
  • ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
  • Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
  • Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
  • Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
  • Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
  • Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
  • Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
 
 
Skills that will Lead To Your Success
  • Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
  • API design (REST) and integration tools (ETL/ELT).
  • Stakeholder communication (technical and non-technical audiences).
  • Leadership in Agile/DevOps environments.
  • Analytical problem-solving for complex data systems.
  • Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.
  • Foundational Understanding: Data modeling, data pipeline orchestration, data quality management, metadata management, and data lifecycle.
  • Data Platforms: Data lakes, warehouses, and lake house architectures; distributed systems and cloud data services.
  • Data Engineering: ETL/ELT processes, real-time and batch data processing, data integration, and automation.
  • Financial Systems: Payment networks, liquidity management, and settlement processes (as relevant to data flows).
  • Regulatory Landscape: Global data privacy regulations (GDPR, CCPA) and compliance tools.
  • Security: Data encryption, access controls, and penetration testing methodologies.                
 
 
Education And Experience Required:
  • Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
  • Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar
  • Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
  • Proficient in system design, integration, and implementation across multiple technology domains.
  • Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred)