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Python Data Developer Jobs in Nevada (NOW HIRING)

Strong Python programming skills with experience in data processing, automation, and API integrations. * Experience with Databricks, PySpark, SQL, and Delta Lake. * Experience integrating and ...

New

Python Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Henderson, NV · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

North Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... Python- and Spark-based processes for cloud data ingestion, transformation, and loading • Lead ... Required : • Bachelor's degree required in Computer Science, Data Science, Engineering ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Strong Python scripting and SQL (daily, hands-on use) * Apache Spark for cloud data loading and ...

AI Engineer

Las Vegas, NV · On-site

$60 - $70/hr

Collaborate with product, data engineering, and DevOps teams. Required Skills * 3-8 years of software development experience * Strong Python programming * Generative AI / Large Language Models (LLMs)

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AI Engineer

Las Vegas, NV · On-site

$60 - $70/hr

Collaborate with product, data engineering, and DevOps teams. Required Skills * 3-8 years of software development experience * Strong Python programming * Generative AI / Large Language Models (LLMs)

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R or Python skills (or even javascript/d3): other coding skills, especially if used to analyze data or build visualizations (but programing/website work would still be a plus!) - strong shapefile ...

Data Engineer

Sparks, NV · On-site

$117K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Henderson, NV · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Carson City, NV · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

Ability to code in relevant languages for data engineering and software development (e.g., Python, SQL, C#, JavaScript/TypeScript or similar). * Experience improving data quality by working upstream ...

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

Ability to code in relevant languages for data engineering and software development (e.g., Python, SQL, C#, JavaScript/TypeScript or similar). * Experience improving data quality by working upstream ...

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Python Data Developer information

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.
What job categories do people searching Python Data Developer jobs in Nevada look for? The top searched job categories for Python Data Developer jobs in Nevada are:
Data and Automation Engineer - Python

Data and Automation Engineer - Python

Plum Inc

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

About the Role
We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.
You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.
This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.
Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements
Technical Skills
  • 3-7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.
Benefits
What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
  • Opportunity to make a meaningful impact in building a company and culture.
  • Equity in a financial technology startup.
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.