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Remote Data Conversion Developer Jobs in Mesa, AZ

Lead Data & AI Engineer

Phoenix, AZ ยท On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

Location Requirement: This position is eligible for remote work within any state Dutch Bros ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

Autodesk Fusion 360 Expert - Remote

Phoenix, AZ ยท On-site +1

$40 - $120/hr

Support AI model development by delivering accurate CAD data and documenting engineering decisions ... Reverse engineering expertise, including Scan-to-CAD and point cloud conversion workflows.

Senior Data Engineer

Mesa, AZ ยท Remote

$105K - $142K/yr

... remote databases, and other business systems into trusted and actionable information. Company ... Collaborate with developers, and business stakeholders to understand data requirements and ...

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

Director Data & AI

Gilbert, AZ ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote will be considered within the continental United States. HOW YOU'LL SPEND YOUR TIME * Lead and develop the Data and AI team, including a Data Architect, Data Architects and AI/ML Engineer.

Senior Principal Software Engineer

Tempe, AZ ยท Remote

$122K - $168K/yr

  • Medical

  • Retirement

This position is a remote role that will be based in the United States with preference given to ... Partner with Product, UX, and Data teams to translate AI capabilities into: * Increased conversion ...

Senior Principal Software Engineer

Tempe, AZ ยท Remote

$122K - $168K/yr

  • Medical

  • Retirement

This position is a remote role that will be based in the United States with preference given to ... Partner with Product, UX, and Data teams to translate AI capabilities into: * Increased conversion ...

Senior Principal Software Engineer

Phoenix, AZ ยท Remote

$122K - $169K/yr

  • Medical

  • Retirement

This position is a remote role that will be based in the United States with preference given to ... Partner with Product, UX, and Data teams to translate AI capabilities into: * Increased conversion ...

Showing results 21-40

Remote Data Conversion Developer information

See Mesa, AZ salary details

$10.9K

$109.1K

$138.4K

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

As of Aug 15, 2026, the average yearly pay for remote data conversion developer in Mesa, AZ is $109,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $133,900.00 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?

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.

What are popular job titles related to Remote Data Conversion Developer jobs in Mesa, AZ?

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

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

The top searched job categories for Remote Data Conversion Developer jobs in Mesa, AZ are:

Infographic showing various Remote Data Conversion Developer job openings in Mesa, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,130 per year, or $52.5 per hour.

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ โ€ข On-site, Remote

$50 - $60/hr

Contractor

Re-posted 15 days ago


Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.