Python (ArcPy, ArcGIS API for Python) jobs

Senior Software Development Engineer

CVS Health · Posted Nov 9, 2026

Open

Remote, United States
Remote
Full-time · Senior
$83K–$167K per year
7+ years

Senior Software Development Engineer

CVS Health · Posted Nov 9, 2026

Open

Remote, United States
Remote
Full-time · Senior
$83K–$167K per year
7+ years

Data & AI Solutions Engineer

TricorBraun · Posted Oct 20, 2026

Open

Hybrid
5+ years

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Design, develop, and implement intelligent AI solutions that enhance business operations and customer experiences.

Compensation

Competitive compensation packages

Responsibilities

Design, develop, and implement AI solutions
Bridge data science, software engineering, and business strategy
Collaborate with multi-functional teams
Build and deploy AI and machine learning models
Develop data pipelines

Requirements

Bachelor's degree in a related field

Skills

AI and machine learning Python Microsoft Azure tools (Azure Functions, Logic Apps, AI Studio, Copilot, Microsoft Fabric)Data governance Data engineering Cloud systems APIs

DevOps Engineer

Stanford Health Care · Posted Jun 30, 2026

Open

Newark, California, United States +1 more
Full-time · Senior
$79–$105 per hour
3+ years

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Senior AI Platform & ML Ops Engineer to architect layered infrastructure for autonomous systems within Stanford Healthcare

Locations (2)

Newark, California, United States
Stanford, California, United States

Compensation

Base Pay Scale: Generally starting at $79.21 - $104.97 per hour

Responsibilities

Design, build and maintain scalable and robust infrastructure for AI/ML systems
Develop and implement CI/CD pipelines to automate deployment, testing and monitoring of AI/ML models and applications
Collaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines
Monitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability
Maintain Kubernetes pods, container registry and virtual machine image library and model registry

Requirements

Senior Enterprise Info Mgmt Platform Admin

Stanford Health Care · Posted May 5, 2026

Open

Palo Alto, California, United States
Senior
$67–$88 per hour
4+ years

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Lead and administer the Enterprise Information Management platform, design and implement cloud infrastructure, automation, and data pipelines.

Compensation

Base Pay Scale: Generally starting at $66.52 - $88.14 per hour

Responsibilities

Administer Cloud Platform workspaces: users/groups, workspace objects, permissions, cluster policies, pools, jobs, repos, and access to compute.
Lead development of automations and IaC for repeatable workspace provisioning and configuration.
Design and enforce platform standards: environment separation, workspace segmentation, cluster policy design, catalog structure, secure library/dependency management.
Oversee and refine data platform and operational processes, ensuring high availability and performance of data pipelines.
Respond to incidents using defined support processes; assess post-incident learnings and drive preventive actions.

Requirements

BS/BA degree in information technology, information systems, business management, business analytics, business administration or a directly related field from an accredited college or university

Skills

Cloud Engineer Data Engineer

Senior Manager, Data Engineering

Stanford Health Care · Posted Feb 24, 2026

Open

Palo Alto, California, United States
Senior
$84–$111 per hour
8+ years

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Lead data engineering teams to drive clinical innovation, operational efficiency, and enterprise analytics across Stanford Medicine.

Compensation

Base Pay Scale: Generally starting at $83.98 - $111.27 per hour

Responsibilities

Lead, mentor, and manage multiple teams of data engineers
Foster a culture of collaboration, innovation, and operational excellence
Manage resource allocation, project prioritization, and team workloads
Recruit, coach, and motivate team members
Oversee the design, development, and maintenance of scalable data pipelines

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
Master’s degree preferred

Skills

leadership team management data engineering principles ETL/ELT data modeling data architecture

Senior Financial Analyst

Shift4 · Posted Nov 5, 2026

Open

Center Valley, Pennsylvania, United States
Hybrid
Full-time · Senior
6+ years

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Senior Financial Analyst

Responsibilities

Lead the preparation, consolidation, and analysis of financial results, forecasts, and budgets for assigned business units.
Build and maintain advanced financial models to assess business performance, evaluate scenarios, and support strategic decision-making.
Monitor KPIs, financial trends, and operational metrics to provide actionable insights.
Partner with senior leaders to translate operational and market data into actionable business insights.
Present key findings and recommendations to executive management and, when appropriate, the Board of Directors.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, or related field; MBA or Master’s preferred
Nice to have: MBA
Nice to have: Master’s
Nice to have: CPA
Nice to have: CFA

Skills

Microsoft Excel Tableau financial modeling Python R

Principal, Contact Center Automation & Solutions

Shift4 · Posted Nov 5, 2026

Open

Center Valley, Pennsylvania, United States +2 more
On-site
Full-time · Principal
7+ years

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Hands‑on engineering role focused on designing, building, deploying, and improving automation, integrations, software, and AI‑enabled solutions that reduce avoidable support demand and employee effort.

Locations (3)

Center Valley, Pennsylvania, United States
Las Vegas, Nevada, United States
Toronto, Canada

Responsibilities

Partner with the VP and Support subject‑matter experts to translate prioritized contact reduction opportunities into clear technical requirements and solution options.
Validate feasibility using contact data, workflow observations, system behavior, and operational metrics; challenge assumptions when opportunities differ in practice from initial expectations.
Determine the simplest and most reliable intervention across software, integrations, workflow automation, self‑service, and AI, including recommending alternatives when automation is not the appropriate solution.

AI Platform Operations Manager

STACK Infrastructure · Posted Oct 30, 2026

Open

Denver, Colorado, United States
On-site
Full-time · Senior
$128K–$146K per year
5+ years

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The DevOps Engineer, AI Platform is responsible for automating, deploying, and operating the infrastructure and delivery pipelines that support STACK’s enterprise AI platform on Azure. This is a hands-on engineering role focused on build and run — not oversight.

Compensation

$128,260.00 - $146,017.59

Responsibilities

Build, maintain, and version infrastructure-as-code modules for Azure environments using Terraform, Bicep, or ARM
Automate provisioning of AI platform components — Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Cosmos DB, ADLS Gen2, and Databricks
Maintain environment parity across development, test, and production
Implement and enforce tagging, naming, and resource organization standards
Automate routine platform operations — patching, certificate rotation, key and secret rotation, backup validation, and disaster recovery testing

Requirements

Bachelor's degree in Computer Science
Information Technology
Engineering
Nice to have: Microsoft Certified: DevOps Engineer Expert (AZ-400)
Nice to have: Azure Administrator (AZ-104)

Skills

DevOps site reliability engineering platform engineering

AI Application Engineer

STACK Infrastructure · Posted Oct 26, 2026

Open

Denver, Colorado, United States
Hybrid
Full-time · Mid
$128K–$146K per year
5+ years

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Building enough AI platforms to automate document-intensive review workflows, focusing on the user-facing layer, analytics engineering, and data product development.

Responsibilities

Reviewer Workbench & application engineering
Build reviewer-facing application — triage incoming documents, accept or override AI recommendations, annotate decisions
Design UI/UX patterns that match how reviewers actually work
Capture feedback to train models and refine rule packs
Ensure application performance at scale for high document volumes