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Python Analytics Jobs in Virginia (NOW HIRING)

Python Developer

Mclean, VA · On-site

$50.75 - $70/hr

Developer Python Location: McLean, VA - Fully onsite Assignment Type: Contract Only Duration: 6 ... Play a key role in analyzing and converting complex SQL queries to align with new data sources ...

Python

Richmond, VA · On-site

$49.25 - $67.75/hr

RIT Solutions, Inc. is a company specializing in software solutions, and they are seeking a Python ... analytical, problem-solving, coding, testing, and automation skills • Passion for performance ...

AWS Python Developer

Reston, VA · On-site

$120 - $170/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills ... Analyze complex datasets to uncover insights and improve model performance. * Ability to analyze ...

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

... analytics software applications, OR Bachelor s degree or foreign equivalent degree in Computer ... Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g.

Job Title: Python Engineer Location: Mclean, VA(Onsite) Job Type: Full Time Strong automation ... Excellent analytical and problem-solving skills Ability to identify and resolve conflicts Firm ...

Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

The developer will also collaborate closely with FP&A and other stakeholders to implement new ... Python software development experience with Bachelor s degree or 8+ years of hands-on Python ...

New

AWS Python Developer

Reston, VA · On-site +1

$52.25 - $72/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills ... Analyze complex datasets to uncover insights and improve model performance. Ability to analyze ...

Required Qualifications: * 2-3 years of experience in data analysis or machine learning roles. * Proficiency in Python and SQL for data manipulation and analysis. * Hands-on experience with major AWS ...

Python Developer

West Mclean, VA · On-site

$65 - $70/hr

Design, build, and maintain scalable Python applications for data processing and analytics. * Develop RESTful APIs using Flask or FastAPI. * Implement and optimize complex SQL queries and database ...

Python Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

Create robust and resilient data pipelines to connect data sources to analytics tools • Work with ... Python. - Solid understanding and experience with Database Management, SQL, PostgreSQL ...

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Python Developer with AWS Reston, VA, 3 days onsite in a week Need to go for F2F interview ... Strong analytical and problem solving capability * Demonstrated ability to navigate, understand ...

Python PySpark Developer

Mclean, VA · On-site

$51.50 - $71/hr

... analyze large datasets using distributed computing frameworks. - Integrate data from databases, files, APIs, and enterprise applications. - Write reusable, maintainable, and well-tested Python code ...

Perform code analysis, requirements analysis, identification of code metrics, system risk analysis ... Provide L3 Production Support for python based I&CM core applications * Provide solutions to ...

New

Python, SQL, AWS Developer - ZL

Herndon, VA · On-site

$51.75 - $71.25/hr

Python, SQL, AWS Developer Hybrid 2 days per week in Reston, VA OR Washington, DC No Corp to Corp, ... Collaborate with business stakeholders, data analysts, and developers to understand business ...

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Python Analytics information

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What does a Python analytics do?

A Python analytics professional uses Python programming to analyze data, develop models, and generate insights for decision-making. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or automate data processes. Strong programming skills and understanding of statistical methods are essential for this role.

What is the salary of Python analytics?

The salary for a Python analytics role typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and NumPy tend to earn higher salaries.

What cities in Virginia are hiring for Python Analytics jobs?

Cities in Virginia with the most Python Analytics job openings:

Python Developer

WorkNovas LLC

Mclean, VA • On-site

$50.75 - $70/hr

Contractor

Re-posted 28 days ago


Job description

Developer Python

Location:  McLean, VA – Fully onsite 

Assignment Type:  Contract Only 

Duration: 6 plus months

Must Have Qualifications: Must have 5+ years of experience in software development using Python. Must be strong in both front end and back end. Knowledge and strong understanding of architecture design patterns and principles is required. Must have experience working with popular Python frameworks, such as Django, FAST API, and python libraries.

Interview Information:  In-person required

JOB DESCRIPTION - Modeler Developer Python -

The position requires knowledge of model coding using Python to build out the financial forecasting models.  Knowledge of coding of other financial model languages preferred.

Responsibilities:

• Work closely with Model Implementation and I&CM BTO support teams to support technology delivery activities in support of Data Transformation Program.

• Play a key role in analyzing and converting complex SQL queries to align with new data sources, supporting large-scale data migrations, and ensuring seamless data integration across multiple systems.

• Update and or build applications to source securitization data from data warehouses.

• Support and execute data migration activities, ensuring data integrity and accuracy.

• Work with Snowflake for data warehousing, migration, and advanced analytics. Basic Requirements:

• 5+ years of Python and coding experience is a must.

• 5+ years of hands-on experience with SQL, including complex query analysis and optimization.

• 3 years of experience in integrating with Snowflake APIs for data extraction and manipulation.

• 5-10 years of IT experience in design, development, integration and testing of software solutions based on Python, REST Webservices, and web development.

• 5-10 years of experience with relational databases including Sybase, SQL Server, and MySQL. Good knowledge and experience with database technologies such as SQL and NoSQL

• Demonstrated ability to analyze and join large datasets across multiple sources.

• 5 years of experience with managing, building, and deploying code through tools including Jira, GIT, Bitbucket, Gradle, Linux, Docker, and Jenkins.

• 5 years of experience designing and executing unit tests using python testing framework based on business requirements and functional specifications.

• Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc.

• 5 years of experience with popular Python frameworks such as Django, and FAST API.

• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn.

• Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence

• Bachelor’s degree in computer science or related field.

Preferred Skills:

• Work independently contributing to the success of assigned project(s).

• Collaborate with cross-functional teams including data architects, business analysts, and project managers.

• Demonstrated business acumen, problem solving skills, intellectual maturity, and relationship management skills.

• Prior Freddie Mac experience and understanding Corporate Data Warehouse is a plus.

• Experience with ETL tools and data pipeline orchestration