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Telecommute Python Web Scraping Jobs in Washington

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... using Python and SQL. • Integrate data from multiple sources, including databases, APIs ... web scraping and data ingestion workflows to collect open-source data, integrating content and ...

Staffed4U

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... using Python and SQL. * Integrate data from a variety of structured and unstructured sources ... Develop and maintain web scraping and data ingestion workflows to collect and process open-source ...

10a Labs

Engineering Fellowship

Washington, DC · On-site

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * leverage ... Experience with Python is required. * Strong SQL skills and experience with relational databases ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * leverage ... Experience with Python is required. * Strong SQL skills and experience with relational databases ...

Leidos

Data Scientist

Mclean, VA · On-site

$131K - $237K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage ... Experience with Python is required. * Strong SQL skills and experience with relational databases ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * leverage ... Experience with Python is required. * Strong SQL skills and experience with relational databases ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$200K - $220K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

... web scraping, Direct Connect) and internal agency sources into the data lake landing zone and downstream curated zones. * Develop production-grade ETL workflows using AWS Glue, PySpark, Python ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

... web scraping, Direct Connect) and internal agency sources into the data lake landing zone and downstream curated zones. * Develop production-grade ETL workflows using AWS Glue, PySpark, Python ...

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Telecommute Python Web Scraping information

What are the key skills and qualifications needed to thrive as a Telecommute Python Web Scraping Specialist, and why are they important?

To thrive as a Telecommute Python Web Scraping Specialist, you need strong Python programming skills, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and data formats such as JSON and CSV. Familiarity with version control systems like Git, cloud platforms, and knowledge of handling CAPTCHAs or anti-bot systems are typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These competencies ensure efficient data extraction, compliance with legal and ethical standards, and smooth collaboration in a remote work environment.

What are some common challenges faced when working remotely as a Python web scraping specialist, and how can they be addressed?

Remote Python web scraping specialists often encounter challenges like managing asynchronous communication with team members, handling inconsistent website structures, and ensuring compliance with website terms of service. To address these, it's important to establish clear communication channels (such as Slack or regular video calls), maintain detailed documentation, and use robust scraping frameworks that handle website changes gracefully. Additionally, staying updated on legal and ethical guidelines for web scraping is crucial to avoid potential pitfalls.

What is the difference between Telecommute Python Web Scraping vs Telecommute Data Analyst?

AspectTelecommute Python Web ScrapingTelecommute Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentRemote, independent, technicalRemote, collaborative, analytical
Industry UsageWeb data collection, research, market analysisBusiness insights, reporting, decision-making

While both roles often work remotely and require analytical skills, Telecommute Python Web Scraping focuses on extracting data from websites using Python, whereas Telecommute Data Analysts interpret and visualize data to support business decisions. The roles complement each other but serve different primary functions in data workflows.

What are Telecommute Python Web Scraping jobs?

Telecommute Python Web Scraping jobs involve working remotely to develop and maintain scripts or applications that extract data from websites using the Python programming language. Professionals in these roles use libraries such as BeautifulSoup, Scrapy, or Selenium to automate the collection of web data for analysis, business intelligence, or research purposes. The remote aspect allows workers to perform their tasks from any location with internet access, collaborating with teams or clients online. These jobs typically require knowledge of web protocols, HTML, and ethical scraping practices.
What are the most commonly searched types of Python Web Scraping jobs in Washington? The most popular types of Python Web Scraping jobs in Washington are:
What cities in Washington are hiring for Telecommute Python Web Scraping jobs? Cities in Washington with the most Telecommute Python Web Scraping job openings:
Telecommute Python Web Scraping jobs near you
Data Engineer

Data Engineer

Edgesource Corporation

Chantilly, VA • On-site

$118K - $142K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Edgesource Corporation is an innovative technology service provider for various federal and state clients. They are seeking a data engineer to support data structuring and development for a large enterprise system, focusing on ETL/ELT pipelines, data architecture, and collaboration with data scientists and stakeholders.
Responsibilities:
• Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL.
• Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
• Build scalable data architectures to support analytics and machine learning workloads.
• Optimize data processing and queries for performance and cost efficiency in AWS S3.
• Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.
• Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder consumption.
• Collect, clean, and validate large volumes of structured and unstructured data.
• Track data versions, implement data quality checks, and ensure data reliability.
• Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.
• Implement data governance practices, including documentation, cataloging, lineage, and security.
• Ensure compliance security standards.
• Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.
• Prepare clean, structured, and feature-ready datasets for analytics and machine learning.
• Support feature engineering, aggregations, and transformations at scale.
• Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.
• Integrate with REST APIs.
• Utilize Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows.
• Document pipelines, data schemas, and transformations clearly.
• Communicate technical concepts effectively with cross-functional teams.
• Participate in code reviews and promote best practices across the team.
Qualifications:
Required:
• Active TS/SCI FSP
• 3–5 years + of professional experience in data engineering or related roles.
• Strong collaboration skills to work effectively with Data Scientists, Analysts, and Engineering teams.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Detail-oriented, curious, and committed to data quality.
• Capable of managing multiple priorities in a fast-paced environment.
• Python, SQL, and PySpark (highly desired) for data processing and pipeline development.
• Elastic/OpenSearch for search and analytics solutions.
• Experience with AWS cloud services and Linux environments.
• Git for version control and collaborative development.
• Understanding of machine learning workflows and MLOps concepts.
Preferred:
• Hands-on experience modeling, querying, and optimizing graph databases, especially Neo4j highly desired
Company:
NATIONAL SECURITY EXPERTISE THAT POWERS MISSION SUCCESS Edgesource doesn't observe the mission from afar—we advance it from within. Founded in 1997, the company is headquartered in Alexandria, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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