Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep ... Remote candidates will be considered. Up to 40% travel may be required for on-site customer ...
Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep ... Remote candidates will be considered. Up to 40% travel may be required for on-site customer ...
Python Pandas Remote information
See Seattle, WA salary details
$15.05 - $22.61
1% of jobs
$22.61 - $30.17
0% of jobs
$30.17 - $37.73
2% of jobs
$37.73 - $45.29
5% of jobs
$45.29 - $52.85
11% of jobs
$55.07 is the 25th percentile. Wages below this are outliers.
$52.85 - $60.41
18% of jobs
The median wage is $64.35 / hr.
$60.41 - $67.97
24% of jobs
$73.75 is the 75th percentile. Wages above this are outliers.
$67.97 - $75.53
18% of jobs
$75.53 - $83.09
13% of jobs
$83.09 - $90.65
5% of jobs
$90.65 - $98.21
3% of jobs
$15
$66
$98
How much do python pandas remote jobs pay per hour?
As of Jul 13, 2026, the average hourly pay for python pandas remote in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Python Pandas Remote Data Analyst, and why are they important?
To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.
What are some common challenges faced by remote Python Pandas developers and how can they be addressed?
Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.
What is the difference between Python Pandas Remote vs Data Analyst?
| Aspect | Python Pandas Remote | Data Analyst |
|---|---|---|
| Required Skills | Python, Pandas, SQL, data manipulation | Excel, SQL, data visualization, basic programming |
| Work Environment | Remote, tech-focused companies | Office or remote, various industries |
| Certifications | Python certifications, data analysis courses | Data analysis, Excel, Tableau certifications |
| Industry Usage | Tech, finance, e-commerce | Finance, marketing, healthcare |
Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.
What are Python Pandas Remote jobs?
Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What are the most commonly searched types of Python Pandas jobs in Seattle, WA? The most popular types of Python Pandas jobs in Seattle, WA are:
What are popular job titles related to Python Pandas Remote jobs in Seattle, WA? For Python Pandas Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Pandas Remote jobs in Seattle, WA look for? The top searched job categories for Python Pandas Remote jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Python Pandas Remote jobs? Cities near Seattle, WA with the most Python Pandas Remote job openings:
Full-time
Re-posted 17 days ago
Nvidia rating
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
Job description
We are building the AI systems that will fundamentally change how telecommunications networks are operated - and we want you to help shape that work. As a Senior Solution Architect on our Telco AI team, you will design and deploy Agentic AI applications that automate real carrier operations using the latest generative models, NLP, RAG pipelines, and large-scale distributed systems. We work at the intersection of two fast-moving domains: generative AI and telecommunications infrastructure. That means you will be going deep on both - understanding 5G network data, guiding NVIDIA's strategic Telco partners, and helping engineering teams build things that actually work in production. This is applied work at its most exciting!
What You Will Be Doing:
We are designing, building, and continuously improving agentic LLM applications targeting Telco Network Operations and Autonomous Networks-covering orchestration, tool use, memory, and multi-agent coordination patterns-while evaluating and applying the latest advances in model fine-tuning and customization for telecom-specific corpora including network telemetry, logs, SNMP, NetFlow/IPFIX, and streaming time-series data.
Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack, including NIMs and NeMo microservices.
Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner and customer point of contact for integration challenges.
Anticipate partner and customer needs across the adoption lifecycle, identify enablement opportunities that accelerate GenAI utilization, and translate those insights into reference architectures for Agentic AI in Telco-documenting design trade-offs, standard practices, and failure modes, then feeding findings systematically back to product and engineering.
Advise on high-performance ETL pipeline design for telecom data: scalable, real-time ingestion workflows using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for high-volume telemetry and event streams.
What We Need to See:
We are looking for someone with a strong engineering foundation and genuine curiosity about both AI and networking. Here is what matters most to us:
MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or equivalent experience building real systems-with 6+ years developing and deploying AI/ML systems at scale.
Hands-on experience building enterprise RAG systems with open-source models (LLaMA, Mistral, or similar) and orchestration frameworks like LangChain or LlamaIndex, paired with solid deep learning fundamentals.
Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep learning framework.
Real familiarity with Telco network data-telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams-paired with hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas.
The communication skills to talk technical trade-offs with engineers and outcomes with business partners - often in the same conversation.
Ways to Stand Out from the crowd:
These are not requirements - they are signals that you have already been operating in the space we work in every day:
Experience with NVIDIA AI Enterprise software: Morpheus, RAPIDS, NeMo, and NIM.
Agentic framework fluency: LangGraph, AutoGen, NVIDIA Colang 2.0, or similar multi-agent tools.
5G / 6G and O-RAN depth: Next-generation Telco architecture spanning 5GC, Open RAN, network slicing, MEC, and 3GPP standards (Rel. 15-18), combined with O-RAN automation including xApps, rApps, RIC, SDN/NFV, and protocols such as NETCONF, gNMI, and RESTCONF.
MLOps and DevOps: Kubernetes, Docker, Helm, Jupyter-based automation pipelines.
Infrastructure awareness around NVIDIA InfiniBand or high-speed Ethernet for distributed model serving.
Location & Travel
Preference is for candidates based at NVIDIA HQ. Remote candidates will be considered. Up to 40% travel may be required for on-site customer engagements and industry conferences.
With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture NVIDIA is widely considered to be one of the technology industry's most desirable employers! NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993