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Entry Level Web Data Scraping Jobs (NOW HIRING)

Hire Hangar

Software Engineer

Elkridge, MD · On-site

$160K - $200K/yr

... 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 ...

New

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InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

Hire Hangar

Software Engineer

Laurel, MD · On-site

$160K - $200K/yr

... 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 ...

New

Apply Early

Hire Hangar

Software Engineer

Columbia, MD · On-site

$160K - $200K/yr

... 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 ...

New

ConsultAdd, Inc.

Web developer

Jersey City, NJ

Company Description Entry Level - web developer - - Create and setup a Rails environment Use ... Bachelors or masters in Computer Science or related field Must have skills of java, SQL, and data ...

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How much do entry level web data scraping jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for entry level web data scraping in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Web Data Scraping jobs? The most popular types of Web Data Scraping jobs are:
Entry Level Web Data Scraping jobs near you

Full-Stack Engineer (Graph Database & Real-Time Data Systems)

Hire Hangar

Elkridge, MD • Remote

$160K - $200K/yr

Contractor

Posted 3 days ago

Be an early applicant

Job description

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

Job Title: Full-Stack Engineer (Graph Database & Real-Time Data Systems)
Location | Remote (US Only)
Time Zone | US Time Zones (EST–PST)

Role Overview:
We are seeking a Full-Stack 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