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Scraping Jobs in Silver Spring, MD (NOW HIRING)

Software Engineer

Laurel, MD · On-site

$160K - $200K/yr

... 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 ...

Software Engineer

Columbia, MD · On-site

$160K - $200K/yr

... 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 ...

Dishroom Utility

National Harbor, MD

$16 - $19.25/hr

Organize and operate a two-bay conveyor dish-machine system comprised of scraping, stacking, rinsing, and washing dishesOrganize and maintain a three-compartment wash, rinse, and sanitize washing ...

Dishroom Utility

National Harbor, MD · On-site

$16 - $19.25/hr

Organize and operate a two-bay conveyor dish-machine system comprised of scraping, stacking, rinsing, and washing dishesOrganize and maintain a three-compartment wash, rinse, and sanitize washing ...

Dishroom Utility

Washington, DC

$17 - $20.50/hr

Organize and operate a two-bay conveyor dish-machine system comprised of scraping, stacking, rinsing, and washing dishesOrganize and maintain a three-compartment wash, rinse, and sanitize washing ...

Showing results 21-40

Scraping information

See Silver Spring, MD salary details

$30.7K

$71.7K

$148.8K

How much do scraping jobs pay per year?

As of Aug 21, 2026, the average yearly pay for scraping in Silver Spring, MD is $71,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,531.00 and $79,768.00 per year, depending on experience, location, and employer.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

What are popular job titles related to Scraping jobs in Silver Spring, MD?

For Scraping jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Scraping jobs in Silver Spring, MD look for?

The top searched job categories for Scraping jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Scraping jobs?

Cities near Silver Spring, MD with the most Scraping job openings:

Infographic showing various Scraping job openings in Silver Spring, MD as of August 2026, with employment types broken down into 77% Full Time, 14% Part Time, 2% Contract, 1% Nights, and 6% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $71,668 per year, or $34.5 per hour.

Software Engineer

Hire Hangar

Laurel, MD • On-site

$160K - $200K/yr

Contractor

Re-posted 18 days ago


Job description

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

Job Title| Software Engineer, Graph Systems & Data Visualization
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

 

We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Compensation Range: $160K - $200K