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Remote Data Conversion Developer Jobs in Belding, MI

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member ... Flexible/remote work options.

Intermediate Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring ... Experience working with devops processes to deliver code quickly with a high degree of confidence ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

... DevOps * Strong understanding of Azure Monitor, Application Insights, Cost Management, or ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

... DevOps * Strong understanding of Azure Monitor, Application Insights, Cost Management, or ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Sr. Software Developer

Ada, MI · On-site +1

$115K - $142K/yr

Support the QA team by providing test data and ensuring features are ready for release. Required ... We are a collaborative group of local and remote employees and skilled contractors working together ...

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Remote Data Conversion Developer information

See Belding, MI salary details

$9.4K

$93.9K

$119K

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

As of Jun 18, 2026, the average yearly pay for remote data conversion developer in Belding, MI is $93,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $115,200.00 per year, depending on experience, location, and employer.

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 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 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 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.
Infographic showing various Remote Data Conversion Developer job openings in Belding, MI as of June 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution, with an average salary of $93,862 per year, or $45.1 per hour.
Data Engineer

Data Engineer

Cisive

Wyoming, MI • On-site, Remote

$103K - $124K/yr

Full-time

Posted 14 days ago


Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

60th of 428 rated business services


Job description

It\'s fun to work in a company where people truly BELIEVE in what they\'re doing!
We\'re committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

·       Integrity First: We uphold the highest ethical standards in everything we do.

·       Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

·       Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

·       Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

·       Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft\'s cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You\'ll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft’s data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.