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Weekend Python Web Scraping Jobs in Gaithersburg, MD

Hire Hangar

Data Engineer

Columbia, MD · On-site

$160K - $200K/yr

... as Python, Go, or Node.js/TypeScript - Front-end development experience with React, Next.js, and TypeScript - Experience building or working with data pipelines, ETL processes, or web scraping ...

Hire Hangar

Software Engineer

Laurel, MD · On-site

$160K - $200K/yr

... as Python, Go, or Node.js/TypeScript - Front-end development experience with React, Next.js, and TypeScript - Experience building or working with data pipelines, ETL processes, or web scraping ...

Babel Street

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Marathon TS

Senior Software Engineer

Washington, DC · On-site

$138K - $182K/yr

... web scraping solutions to enhance the capabilities of our government partner's tools. Responsibilities : • Develop and maintain web applications using Python, React, and Flask • Create and ...

Marathon TS

Senior Software Engineer

Washington, DC · On-site

$138K - $182K/yr

... web scraping solutions to enhance the capabilities of our government partner's tools. Responsibilities : • Develop and maintain web applications using Python, React, and Flask • Create and ...

10a Labs

Engineering Fellowship

Washington, DC

$125/hr

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 ...

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 ...

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 ...

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Weekend Python Web Scraping information

See Gaithersburg, MD salary details

$48

$62

$69

How much do weekend python web scraping jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for weekend python web scraping in Gaithersburg, MD is $62.54, according to ZipRecruiter salary data. Most workers in this role earn between $57.12 and $67.55 per hour, depending on experience, location, and employer.

What are some common challenges faced in a weekend Python web scraping role, and how can they be addressed?

One frequent challenge in weekend Python web scraping roles is dealing with websites that implement anti-scraping measures, such as CAPTCHAs or frequent layout changes. Effective solutions include using libraries like Selenium or Playwright to mimic human browsing, rotating user agents and IP addresses, and staying updated with website structure changes. Additionally, time management is key, as weekend roles often require efficiently balancing multiple scraping tasks within limited hours. Collaborating with other developers or data engineers, even asynchronously, can help share solutions and maintain scraping scripts effectively.

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

To thrive as a Weekend Python Web Scraping Specialist, you need strong proficiency in Python programming, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems such as Git, browser automation tools like Selenium, and sometimes cloud platforms is also typically expected. Attention to detail, problem-solving skills, and effective communication are essential soft skills to manage project requirements and address data extraction challenges. These competencies ensure accurate, efficient data gathering and reliable delivery within tight weekend timelines.

What are Weekend Python Web Scraping jobs?

Weekend Python Web Scraping jobs involve using the Python programming language to collect and extract data from websites, typically during weekend hours or as a part-time remote role. These jobs often require knowledge of web scraping libraries like BeautifulSoup, Scrapy, or Selenium, as well as an understanding of HTML and web protocols. The work can include tasks such as gathering data for market research, competitive analysis, or data aggregation projects. Since the work is scheduled for weekends, it offers flexibility for those who have commitments during the week. Attention to ethical web scraping practices and compliance with website terms of service is usually important.

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

AspectWeekend Python Web ScrapingWeekend Data Analyst
Required SkillsPython, web scraping libraries, data extractionExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, project-based, technicalRemote or on-site, analytical, business-focused
Industry UsageTech, e-commerce, researchFinance, marketing, consulting

Weekend Python Web Scraping involves writing scripts to extract data from websites, focusing on technical skills like Python programming. Weekend Data Analysts interpret and visualize data to support business decisions, requiring analytical and communication skills. While both roles may work remotely and require some technical knowledge, Python Web Scraping is more technical and coding-intensive, whereas Data Analysis emphasizes data interpretation and reporting.

What are popular job titles related to Weekend Python Web Scraping jobs in Gaithersburg, MD? For Weekend Python Web Scraping jobs in Gaithersburg, MD, the most frequently searched job titles are:
What job categories do people searching Weekend Python Web Scraping jobs in Gaithersburg, MD look for? The top searched job categories for Weekend Python Web Scraping jobs in Gaithersburg, MD are:
Weekend Python Web Scraping jobs near you
Infographic showing various Weekend Python Web Scraping job openings in Gaithersburg, MD as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $130,083 per year, or $62.5 per hour.

Data Engineer

Hire Hangar

Columbia, MD • On-site

$160K - $200K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Join Hire Hangar and work with fast-growing global companies while building a long-term career.

Job Title: Data Engineer
Location | Remote (US Only)
Time Zone | US Time Zones (EST–PST)

Role Overview:
We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment.

Key Responsibilities:
- Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data
- Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data
- Build and optimize web scraping and crawler infrastructure to support continuous data collection
- Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way
- Collaborate cross-functionally to translate product requirements into scalable technical solutions
- Write clean, maintainable, well-tested code across the stack
- Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers

Required Qualifications:
- Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)
- Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)
- Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript
- Front-end development experience with React, Next.js, and TypeScript
- Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure
- Comfortable working in a high-growth, early-stage engineering environment with evolving priorities
- Must be authorized to work in the United States without sponsorship

Preferred Qualifications:
-Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations
- Experience with social listening, social media data, or large-scale web data platforms
- Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow
- Prior experience at a seed-to-Series B startup
- Experience with AWS, GCP, Docker, or Kubernetes

Tools & Technology:
- Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)
- Streaming/data pipeline tools (Kafka, Spark, Flink, or similar)
- React, Next.js, TypeScript
- Python, Go, or Node.js
- Cloud infrastructure (AWS/GCP), Docker, Kubernetes

 
 
 
 

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Compensation Range: $160K - $200K