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Python Data Developer Jobs in Nevada (NOW HIRING)

Required : • Master's Degree or PhD in Electrical/Electronic/Mechanical Engineering, Physics ... Python, R, or similar software that supports statistical computing Company : Systems Planning ...

... programming, data mining, analysis, and reporting * Strong analytical skills with the ability to ... Academic or professional experience using Python or SAS for data analysis and statistics, and ...

New

... in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms. * 5+ Years of Experience with data manipulation and ...

... programming, data mining, analysis, and reporting * Strong analytical skills with the ability to ... Academic or professional experience using Python or SAS for data analysis and statistics, and ...

New

... programming, data mining, analysis, and reporting * Strong analytical skills with the ability to ... Academic or professional experience using Python or SAS for data analysis and statistics, and ...

New

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Strong SQL & practical Python for data workflows; CI/CD (Azure DevOps/GitHub Actions/Jenkins). * Data warehousing/lakehouse patterns; batch & streaming (e.g., Structured Streaming). Cloud (one or ...

Software Developer Intern

Las Vegas, NV · On-site

$18 - $23.75/hr

Job Summary We are seeking a skilled Software Developer to design, develop, and maintain software ... Strong experience with Microsoft Azure (ADF, Synapse, Data Lake, Azure SQL) * Proficiency in Python ...

Work cross-functionally with engineering, operations, and product teams to implement and deploy ... Strong Python experience and familiarity with modern data science workflows (e.g., Jupyter, GitHub ...

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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:
Infographic showing various Python Data Developer job openings in Nevada as of June 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 4% Part Time, 4% Temporary, 6% Contract, and 2% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Full-time

Posted 23 days ago


Job description

Job Summary:
Systems Planning and Analysis, Inc. (SPA) is a company that delivers high-impact, technical solutions to complex national security issues. They are seeking a Master Data Scientist III to partner with experienced aircrew and operators in developing advanced Naval Aviation training and tactics, conducting analyses, creating models, and designing experimental protocols.
Responsibilities:
• conducting analyses, creating models and solution prototypes, and designing experimental protocols to quantify results
• work closely with and develop strong relationships with the client
• produce actionable results on tight timelines
• deep dive potential projects, understand any unmet or unspoken customer needs, and create and deliver solutions
• work closely with and direct the work of experts in scientific programming and mathematical modeling
• excellent verbal and written communication skills
Qualifications:
Required:
• Master's Degree or PhD in Electrical/Electronic/Mechanical Engineering, Physics, Biology, Mathematics, or related hard sciences required
• Desired experience of three years in a field requiring mastery of applied statistics or stochastic processes, ideally demonstrated by authorship of relevant technical reports, theses, or briefings
• Current Top Secret Clearance with SCI eligibility and the ability to maintain it throughout employment
• Ability to acquire and maintain additional clearances as needed throughout employment in this position
Preferred:
• Department of Defense and/or Department of Navy experience
• Comfort with Python, R, or similar software that supports statistical computing
Company:
Systems Planning & Analysis (SPA) is a leading global provider of data-driven analytical insights for critical national security programs. Founded in 1972, the company is headquartered in Alexandria, USA, with a team of 1001-5000 employees. The company is currently Late Stage.