Company profile
WebstaurantStore Jobs
- Retail
- 1,001-5,000 employees
- Lancaster, PA
- webstaurantstore.com(opens in a new tab)
1 open role · last posted 5 days ago
Score how well you match WebstaurantStore roles before you apply.
Hiring snapshot
1open
Hiring now
3 postings analyzed in total
Posting mix
Pay and freshness
About
WebstaurantStore hiring at a glance
WebstaurantStore is the largest online distributor of restaurant supplies and equipment, offering everything from disposable utensils to commercial kitchen appliances. They are known for their energetic work environment, opportunities for growth, and great benefits, making it a desirable place to start or grow a career.
ShouldApply lists 1 open WebstaurantStore role that passed the quality check.
Postings are pulled from 4 job boards every 2 hours (WebstaurantStore), and company names are matched across boards. Every count on this page uses the same rule as the industry and skill pages: active postings that pass the shared quality check.
Company intel
Tech stack
- Cloud technologies
- SQL
- Data Visualization Tools
- Modern data stack
Culture
- Energetic coworkers
- Opportunities to move up
- Great Benefits
- Paid time off
- Medical & dental coverage
- Company culture is top priority
- Risk-takers, fast learners, and experts in our fields
Open positions
1 open WebstaurantStore role
1st Shift NOC Technician
RemotePosted 5d ago
Hiring picture
What WebstaurantStore hires for
Most common roles
- Performance Engineer1 · 33%
- Marketing Coordinator1 · 33%
- BI Engineer, Data1 · 33%
Skills mentioned most
Counted from the text of its job descriptions.
Where it hires
- Lititz, PA1 posting
100% of its open postings are remote-friendly.
How fresh the open roles are
- This week1
- 8 to 30 days0
- 31 to 60 days0
- Over 60 days0
Seniority mix
- Senior or lead67%
- Mid level33%
- Entry or junior0%
Read from job titles.
Pay
What WebstaurantStore pays
Only 0 of 1 open postings list pay. A range needs at least 5 salaries, so none is drawn.
ShouldApply data
Who actually gets hired here
5 ShouldApply users have scored against WebstaurantStore roles. No applications are tracked yet for this company.
SCORE 75+
n/a
0 scored, too few applications to read
SCORE 60-74
n/a
1 scored, too few applications to read
SCORE <60
n/a
4 scored, too few applications to read
Aggregated from anonymized scoring and outcome data. Sample: 5 scores, 0 applications. Bands with fewer than 3 applications stay hidden until more data accrues.
1 user has scored against WebstaurantStore in the last 7 days.
Get a calibrated read for your situation
Decision StripThree inputs. We pull the score distribution for similar profiles at WebstaurantStore and tell you what they tend to land at.
Posting quality
How realistic are its job descriptions?
20% of 5 scored postings have unrealistic requirements.
- Realistic 3
- Ambitious 0
- Overloaded 1
- Unrealistic 1
Similar companies
Other retail & e-commerce employers hiring now
WebstaurantStore jobs: questions
How often does ShouldApply check for new WebstaurantStore jobs?
The index refreshes on a tiered schedule from 4 job boards. New WebstaurantStore listings appear automatically once they enter the pipeline.
What roles does WebstaurantStore hire most?
Based on 3 recent postings, WebstaurantStore most commonly hires for Performance Engineer, Marketing Coordinator, BI Engineer, Data. Role distribution shifts as new listings enter the pipeline.
Is WebstaurantStore actively hiring?
Yes. WebstaurantStore has 1 active listing in the index right now. 1 posted in the last 7 days.
What skills does WebstaurantStore look for?
Across 3 indexed postings, the most frequently mentioned skills are SQL, Python, Agile, Scrum, Java. Skill requirements vary by role and seniority level.
Are WebstaurantStore's job descriptions realistic?
Based on 5 analyzed postings, WebstaurantStore has some postings with inflated requirements. 20% of listings were classified as unrealistic and 20% as overloaded.
Where does this WebstaurantStore data come from?
Job postings from WebstaurantStore. Company names are normalized across boards. Data updates on a tiered schedule.