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Remote Tableau Dashboard Developer Jobs in Arizona

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... DevOps, and Dynamics 365 data integration initiatives. The Exponential Technology Group (XTG) is a ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

ENFRA LLC

Energy Engineer PE I

Tempe, AZ · On-site +1

$103K - $132K/yr

... dashboards and reports through multiple software platforms. * Remote Monitoring * Collect and ... Experience with data analytics tools such as Microsoft Power BI, Python, Tableau, Jupyter Notebook ...

ENFRA LLC

Energy Engineer PE I

Tempe, AZ · On-site +1

... dashboards and reports through multiple software platforms. * Remote Monitoring * Collect and ... Experience with data analytics tools such as Microsoft Power BI, Python, Tableau, Jupyter Notebook ...

ENFRA LLC

Energy Engineer PE I

Tempe, AZ · On-site +1

... dashboards and reports through multiple software platforms. * Remote Monitoring * Collect and ... Experience with data analytics tools such as Microsoft Power BI, Python, Tableau, Jupyter Notebook ...

Deloitte

Cyber ServiceNow - Consultant

Gilbert, AZ · Remote

... dashboards, reports, roles, and access controls * Supporting documentation of data models ... Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ...

Deloitte

Cyber ServiceNow - Consultant

Tempe, AZ · Remote

... dashboards, reports, roles, and access controls * Supporting documentation of data models ... Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ...

Pursuit Aerospace

Lead Data Scientist

Prescott, AZ · On-site +1

... dashboards, and AI-powered tools that change decisions and outcomes. Location: Remote in the U.S ... Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ...

Amat

Revenue Operations/PM IV

Chandler, AZ · On-site +1

$108K - $148K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Provide SME inputs for new reports/dashboards. * Projects: Provide input on new project ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

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Remote Tableau Dashboard Developer information

What does a remote Tableau dashboard developer do?

A Remote Tableau Dashboard Developer is responsible for designing, building, and maintaining interactive data dashboards using Tableau software, often while working from a remote location. They collaborate with stakeholders to understand data needs, connect to various data sources, and create visualizations that help organizations make data-driven decisions. Their role also involves optimizing dashboard performance, ensuring data accuracy, and sometimes providing user training. Working remotely, they use communication and project management tools to coordinate with teams and deliver solutions efficiently.

What is the difference between Remote Tableau Dashboard Developer vs Remote Data Analyst?

AspectRemote Tableau Dashboard DeveloperRemote Data Analyst
Required SkillsTableau, data visualization, SQL, data modelingExcel, SQL, data interpretation, reporting
CertificationsTableau Desktop Specialist, Certified Data AnalystMicrosoft Excel Certification, Google Data Analytics
Work EnvironmentData visualization projects, dashboard creationData analysis, reporting, data cleaning
Industry UsageBusiness intelligence, analytics firms, tech companiesFinance, marketing, healthcare, consulting

Remote Tableau Dashboard Developers focus on creating interactive dashboards using Tableau, emphasizing visualization skills. In contrast, Remote Data Analysts perform broader data analysis tasks, including data cleaning and reporting, often using multiple tools. Both roles require strong analytical skills and data certifications, but their core responsibilities differ in scope and focus.

What are some common challenges faced by remote Tableau dashboard developers, and how can they be addressed?

Remote Tableau Dashboard Developers often face challenges such as limited access to stakeholders for requirements gathering, ensuring data security, and maintaining effective communication with distributed teams. To address these, developers can schedule regular virtual meetings, use collaborative tools to clarify requirements, and implement best practices for data governance. Proactively communicating progress and challenges, as well as staying updated on Tableau's remote collaboration features, can also help ensure smooth project delivery and team alignment.

What are the key skills and qualifications needed to thrive as a remote Tableau dashboard developer, and why are they important?

To thrive as a Remote Tableau Dashboard Developer, you need expertise in data visualization, strong analytical skills, and proficiency in SQL and data modeling, often backed by a degree in computer science or related fields. Hands-on experience with Tableau Desktop, Tableau Server, and knowledge of connecting various data sources are typically required, with Tableau certification being a plus. Outstanding communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating business needs into actionable insights. These skills ensure the delivery of effective, user-friendly dashboards that drive data-driven decision-making in a distributed work environment.
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Remote Tableau Dashboard Developer jobs near you

ML Infrastructure Engineer

Bright Vision Technologies

Phoenix, AZ • On-site, Remote

$100K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

ML Infrastructure Engineer - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Infrastructure Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. 
Key Responsibilities 
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. 
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. 
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. 
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. 
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. 
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. 
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. 
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. 
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. 
  • Partner with research and applied ML teams to plan capacity for upcoming training runs. 
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure. 
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. 
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. 
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science or a related field. 
  • Six or more years of experience in infrastructure, platform, or HPC engineering. 
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure. 
  • Strong proficiency in Python and at least one systems language such as Go or C++. 
  • Deep understanding of distributed training, accelerator architectures, and collective communication. 
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. 
  • Strong understanding of Linux internals, networking, and high-performance storage. 
  • Experience with at least one major cloud provider’s ML infrastructure offerings. 
  • Strong software engineering practices including testing, CI/CD, and code review. 
  • Excellent communication and cross-functional collaboration skills. 
Preferred Qualifications 
  • Experience operating InfiniBand or RDMA networking at scale. 
  • Contributions to open-source ML infrastructure projects. 
  • Familiarity with custom orchestrators or research-grade training stacks. 
  • Exposure to frontier model training operations. 
  • Experience with FinOps for AI workloads. 
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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