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Remote Lead Devsecops Engineer 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 Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

Software Engineer III

Chandler, AZ · On-site +1

$56.75 - $76/hr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Experience using CI/CD pipelines and DevSecOps tools (e.g., GitLab, Artifactory, or similar)

The engineering teams build and scale that platform across a distributed, cloud-native architecture ... lead a team of four to five and hold Arrivia's central AI-governance mandate. You own the DevSecOps ...

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Senior Java Engineer (Remote)

Phoenix, AZ · On-site +1

$119K - $157K/yr

Nice to have technical lead experience for small to medium sized projects. * Drive departmental ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

Senior Java Engineer (Remote)

Phoenix, AZ · Remote

$119K - $157K/yr

Nice to have technical lead experience for small to medium sized projects. * Drive departmental ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Senior Java Engineer (Remote)

Phoenix, AZ · Remote

$119K - $157K/yr

Nice to have technical lead experience for small to medium sized projects. * Drive departmental ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

Showing results 21-40

Remote Lead Devsecops Engineer information

What is the difference between Remote Lead Devsecops Engineer vs Remote Devsecops Engineer?

AspectRemote Lead Devsecops EngineerRemote Devsecops Engineer
CertificationsTypically holds certifications like CISSP, CISA, or AWS SecurityOften has certifications like CompTIA Security+, AWS Security, or similar
Work EnvironmentLeads security and DevOps teams, manages projects, and sets security standardsExecutes security tasks within DevOps pipelines, implements security measures
Industry UsageUsed in organizations requiring security leadership in DevOpsCommon in teams focusing on security integration in development pipelines

The main difference is that the Remote Lead Devsecops Engineer oversees security strategies and team coordination, while the Remote Devsecops Engineer focuses on implementing security within DevOps processes. The lead role involves more leadership and strategic planning, whereas the engineer role is more hands-on with security tasks.

What are the most commonly searched types of Lead Devsecops Engineer jobs in Arizona? The most popular types of Lead Devsecops Engineer jobs in Arizona are:
What are popular job titles related to Remote Lead Devsecops Engineer jobs in Arizona? For Remote Lead Devsecops Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Remote Lead Devsecops Engineer jobs? Cities in Arizona with the most Remote Lead Devsecops Engineer job openings:

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 6 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.