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Remote Hl7 Jobs in Arizona (NOW HIRING)

Lead Data & AI Engineer

Phoenix, AZ · 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 ... HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems. · ...

You will be responsible for performing contracted onsite and remote services for clients. Clinisys ... Minimum 3 years' experience with API/Interfaces (HL7) * Minimum 3 years SQL database management and ...

You will be responsible for performing contracted onsite and remote services for clients. Clinisys ... HL7) • 3-5 years' experience with report/ad hoc query development Preferred Experience ...

$76K - $78K/yr

REMOTE OPTIONS, PHOENIX Categories: Information Technology/Services DEPARTMENT OF ECONOMIC SECURITY Your Partner For A Stronger Arizona. DES works with families, community organizations, advocates ...

Senior Software Engineer

Scottsdale, AZ · Remote

$123K - $162K/yr

Position is fully remote reporting to office in Scottsdale, AZ. Job Requirements: Must have a Bachelor's degree in Computer Science or related field of study and 5 years of experience in software ...

Senior Software Engineer

Scottsdale, AZ · Remote

$158K - $170K/yr

Position is fully remote reporting to office in Scottsdale, AZ. Job Requirements: Must have a Bachelor's degree in Computer Science or related field of study and 5 years of experience in software ...

Senior Software Engineer

Phoenix, AZ · Remote

$152K - $205K/yr

Excellent communication skills, able to collaborate with remote teams, share ideas and present concepts effectively. * Self-starter, you enjoy moving at a fast pace, shipping software that improves ...

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Showing results 1-20

Remote Hl7 information

See Arizona salary details

$40.1K

$76.2K

$123.9K

How much do remote hl7 jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote hl7 in Arizona is $76,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a Remote HL7?

A Remote HL7 job involves working with Health Level Seven (HL7) standards to facilitate the secure exchange of electronic health information between healthcare systems. Professionals in this role handle tasks like developing, implementing, and troubleshooting HL7 interfaces to ensure seamless data communication. These jobs are typically in healthcare IT and can involve roles such as integration engineers, analysts, or developers. Since the work is remote, professionals collaborate with teams virtually to support healthcare data interoperability.

What does a Remote HL7 do?

In a Remote HL7 position, your typical day involves configuring, testing, and maintaining healthcare interfaces to ensure secure and accurate exchange of patient data between disparate systems. You’ll collaborate with clinical and IT teams to troubleshoot integration issues, map data elements, and implement new messaging requirements as healthcare workflows evolve. Many roles also require participation in regular stand-up meetings and documenting technical processes for compliance and future reference. Working remotely, strong communication skills are essential for coordinating with team members across locations and providing support when integration challenges arise.

What are the key skills and qualifications needed for a Remote HL7?

To excel in a Remote HL7 role, you need a solid understanding of HL7 standards, healthcare interoperability, and experience with medical data integration or interface development. Familiarity with integration engines (like Mirth Connect or Corepoint), knowledge of EHR systems, and relevant certifications such as HL7 or interoperability credentials are highly advantageous. Strong problem-solving abilities, communication skills, and attention to detail are crucial for effective remote collaboration and troubleshooting. These skills are vital to ensure seamless data exchange between healthcare systems, compliance with regulations, and successful delivery of remote integration projects.

What are the most commonly searched types of Hl7 jobs in Arizona? The most popular types of Hl7 jobs in Arizona are:
What cities in Arizona are hiring for Remote Hl7 jobs? Cities in Arizona with the most Remote Hl7 job openings:
Infographic showing various Remote Hl7 job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,161 per year, or $36.6 per hour.

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 8 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.