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Python Data Developer Jobs in Nevada (NOW HIRING)

MDAEdge

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data ... Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data. • ...

America Votes

Nevada Senior State Data Lead

Las Vegas, NV · On-site

$65K - $75K/yr

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 ...

MOREgroup

Manager, Data Science & Services

Reno, NV · On-site

... in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS. * Strong SQL skills and experience working with large, complex datasets and relational ...

New

MOREgroup

Manager, Data Science & Services

Reno, NV · On-site

... in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS. * Strong SQL skills and experience working with large, complex datasets and relational ...

New

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$125K - $151K/yr

A Senior Data Engineer is responsible for designing, building, and managing data platforms and ... Proficiency in Python and experience with CI/CD practices * Experience with machine learning ...

Amh

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Proficiency in Python and experience with CI/CD practices * Strong background in IAAS platforms and ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum ... Proficiency in Python and experience with CI/CD practices * Strong background in IAAS platforms and ...

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Python Data Developer information

What is a Python data developer?

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 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 popular job titles related to Python Data Developer jobs in Nevada?

For Python Data Developer jobs in Nevada, the most frequently searched job titles are:

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:

Python Data Developer jobs near you

Senior Data Engineer

MDAEdge

Las Vegas, NV • On-site

$101K - $137K/yr

Full-time

Re-posted 24 days ago

Job description

Job Summary:
MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data Engineer to develop and maintain data pipelines and ELT processes. The role involves collaborating with cross-functional teams, implementing DataOps principles, and ensuring the efficient delivery and governance of data.
Responsibilities:
• Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
• Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats.
• Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
• Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
• Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
• Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
• Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
• Stay up-to-date with emerging technologies and best practices in data engineering.
• Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.
Qualifications:
Required:
• Bachelors degree in computer science, Engineering, or a related field.
• 8 + year experience in data engineering, ELT development, and data modeling.
• 4-7 years of experience in Python.
• Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.
• Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.
• Demonstrated experience in developing custom connectors for data ingestion from various sources.
• Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance.
• Experience implementing DataOps principles and practices, including data CI/CD pipelines.
• Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
• Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.
• Familiarity with data visualization tools Apache Superset and dashboard development.
• Understanding of distributed systems and working with large-scale datasets.
• Familiarity with data governance frameworks and practices.
• Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).
• Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.
• Experience with Agile development methodologies and working in cross-functional Agile teams.
• Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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