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Senior Python Data Analysis Jobs in Washington (NOW HIRING)

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

CGI Inc.

Senior Python Developer with Spark

Reston, VA · On-site

$126K - $170K/yr

Senior Python Developer with Spark Category: Project Management Main location: United States ... Proven ability to work with large scale datasets, performing data analysis and extracting ...

Maxiom Technology

Senior Python Developer

Washington, DC

$137K - $185K/yr

We are looking for a Senior Python Developer to join our software development team. Senior Python ... Analyze system requirements and prioritize tasks * Write clean, testable code using Python

InterImage

Senior Python Developer

Laurel, MD

$120K - $162K/yr

Senior Python Developer Your Main Objective: Develop analytics for Customized and Do-it-Yourself ... data as they relate to metric collection. Provide development support to analytic front ends to ...

PTR Global

Python Data Engineer

Mclean, VA · On-site

$90 - $95/hr

... Senior to join our team. The ideal candidate will have a strong background in data analysis ... Proficiency in programming languages such as Python, R, or SQL. * Strong problem-solving skills and ...

eSolutionsFirst, LLC

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

... developing analytics software applications, Demonstrated knowledge of: * Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid ...

TiltEdge Solutions LLC

Python Developer

West Mclean, VA · On-site

$65 - $70/hr

Senior Python Developer Location: Full-time on-site in McLean, VA Position: C2H Green Card or USC ... Design, build, and maintain scalable Python applications for data processing and analytics.

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... Utilize Python, R, and other scripting languages for data analysis and automation * Apply data ...

Navtech, Inc.

Senior Python Developer

Mclean, VA · On-site

$123K - $166K/yr

... REST API data sources, Microservice architecture, Django framework Qualifications: • Bachelor ... effort. • Strong analytical and problem-solving skills. • Excellent verbal and written ...

Mindlance

Python Developer

Washington, DC · On-site

$57 - $78.50/hr

Use analytical skills to learn our users business processes, document the data and process models and troubleshoot and maintain existing applications. Skill Set Requirements: * Proficiency in Python ...

Mindlance

Python Programmer

Washington, DC · On-site

Use analytical skills to learn our users business processes, document the data and process models and troubleshoot and maintain existing applications. Skill Set Requirements: * Proficiency in Python ...

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Senior Python Data Analysis information

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Washington?

The most popular types of Python Data Analysis jobs in Washington are:

What are popular job titles related to Senior Python Data Analysis jobs in Washington?

For Senior Python Data Analysis jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Washington look for?

The top searched job categories for Senior Python Data Analysis jobs in Washington are:

What cities in Washington are hiring for Senior Python Data Analysis jobs?

Cities in Washington with the most Senior Python Data Analysis job openings:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Python Data Engineer

Mclean, VA • On-site

Palnar
IT Services • 201 - 500 employees
Learn more about Palnarexternal

Full-time

Re-posted 9 days ago

Job description

Java is the primary language with some pipelines written in Python, knowledge of Spark, SQL and AWS will also be critical to succeed in the role.
Tech Stack: Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3
Job Description: The role is to continue to build our real time decisioning system for credit card transactions. This work involves building pipelines to get data into the platform, update drools based rules, and take the models built by our data science team and make them production ready and scalable. Candidate hired into this role will also expected to run and debug production infrastructure in the AWS environment. Java is the primary language with some pipelines written in Python, knowledge of Spark, SQL and AWS will also be critical to succeed in the role. Required experience with Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS, & S3

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