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Internship Hive Jobs (NOW HIRING)

Socket.dev

Data Scientist Mid

Fort Liberty, NC · On-site

$109.40 - $148.02/hr

Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino. * Basic ... Experience: 5-8 years of related experience, including academic or internship-based data science ...

GDIT

Data Scientist-Mid

Tampa, FL · Hybrid

$114K - $155K/yr

Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino. * Basic ... Experience: 5-8 years of related experience, including academic or internship-based data science ...

GDIT

Data Scientist Mid

Fort Liberty, NC · Hybrid

$109K - $148K/yr

Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino. * Basic ... Experience: 5-8 years of related experience, including academic or internship-based data science ...

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How much do internship hive jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship hive in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an Internship Hive?

An Internship Hive typically refers to a platform or organization that connects students and recent graduates with internship opportunities across various industries. These platforms act as a bridge between employers seeking interns and individuals looking to gain work experience. They often provide resources such as job postings, application tips, networking opportunities, and career advice to help candidates secure internships and develop professional skills.

What types of projects and mentorship opportunities can interns expect when joining Internship Hive?

Interns at Internship Hive are typically involved in diverse, hands-on projects that align with their field of study or professional interests. The company emphasizes structured mentorship, pairing interns with experienced professionals who provide guidance, feedback, and support throughout the internship. Interns often work both independently and as part of collaborative teams, gaining exposure to different departments and real-world business challenges. This environment not only helps them develop practical skills but also expands their professional network and prepares them for future roles.

What are the key skills and qualifications needed to thrive as an intern, and why are they important?

To thrive as an intern, you typically need foundational knowledge in your field of study, a willingness to learn, and enrollment in or recent completion of relevant coursework. Familiarity with common office software, industry-specific tools, or basic project management systems is often beneficial. Strong communication, adaptability, and a proactive attitude help interns stand out and build positive relationships with colleagues. These skills and qualities are important because they allow interns to contribute effectively, gain valuable experience, and make the most of their learning opportunities.

What is the difference between Internship Hive vs Marketing Intern?

AspectInternship HiveMarketing Intern
Required CredentialsHigh school diploma or ongoing college educationHigh school diploma or college coursework in marketing
Work EnvironmentRemote or in-office, entry-levelRemote or in-office, entry-level
Employer & Industry UsageJob boards, internship programs, startups, corporationsMarketing departments, advertising agencies, startups
Search & Comparison IntentLooking for internship opportunities in various fieldsSeeking marketing-specific internship roles

Internship Hive is a platform listing various internship opportunities across industries, while a Marketing Intern is a specific role within marketing teams. Internship Hive provides a broad range of internships, including marketing, whereas a Marketing Intern focuses solely on marketing-related tasks. Both serve entry-level candidates but differ in scope and specialization.

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What are the most commonly searched types of Hive jobs?

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What states have the most Internship Hive jobs?

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What job categories do people searching Internship Hive jobs look for?

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Internship Hive jobs near you
Infographic showing various Internship Hive job openings in the United States as of August 2026, with employment types broken down into 50% Internship, 25% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

NewsBreak Venture, AI Growth Intelligence Engineer (New Grad

NewsBreak

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

About the Role

We're looking for a curious, technically strong software engineer to join our Corporate Ventures and AI Operations team. This is a hybrid role sitting at the intersection of backend engineering, ML infrastructure, and revenue systems - you'll build and maintain the pipelines and services that power our ads platform, engineer the recommendation systems that keep users coming back, build the tools that automate commission and quota-setting for our ad sales team, and work closely with business stakeholders to ship production systems that turn data into decisions. You care about the milliseconds between a user opening the app and finding something they love. You think about what makes someone stay, subscribe, and come back tomorrow - and you write the code that makes that happen at scale.

Responsibilities

Audience Retention & Performance Systems

  • Help build instrumentation and monitoring systems that track performance signals (load times, stream quality, error rates) to ensure users experience fast, flawless products across web, app, and live streams
  • Contribute to backend services and dashboards that track engagement and retention metrics - session length, scroll depth, return rate, and drop-off points
  • Build tooling to help surface friction in the user journey, working with product and engineering to ship fixes
  • Support the experimentation infrastructure used to test retention-boosting product changes

Recommendation & Personalization Systems

  • Contribute to recommendation algorithms and services that surface the right content to the right user at the right moment, under the guidance of senior engineers
  • Help build the data infrastructure (feature pipelines, training datasets, feedback loops) that keeps recommendation models fresh, accurate, and served in production with low latency
  • Help instrument personalization systems to measure impact on session time, click-through rates, and long-term retention
  • Partner with content and product teams to ship recommendation output into intuitive, performant user experiences

Data & Backend Engineering

  • Build and maintain components of data pipelines and services that process large-scale ads, user event, and engagement data
  • Write clean, well-tested code (SQL, Python, PySpark, or similar) to transform raw data into reliable, analysis-ready datasets and APIs, with code review support from senior team members
  • Contribute to the data architecture supporting ad-tech integrations, paywall flows, and subscription checkout - helping ensure these monetization surfaces are instrumented, reliable, fast, and resilient
  • Help build automated checks to monitor data quality and flag data integrity issues
  • Partner with platform and engineering teams to keep systems scalable, observable, and well-documented

Revenue Operations Tooling

  • Support the engineering behind the commission calculation system for the ad sales team, with a senior engineer owning overall design - focusing on accuracy, reliability, and auditability
  • Help build tools that support sales quota-setting, working alongside senior engineers and Finance partners who own the underlying business logic
  • Contribute to simulation tools that model commission payout scenarios and the cost/incentive impact of quota and comp plan changes
  • Work with cross-functional partners (product, marketing, sales) to understand their tooling needs and help ship solutions
  • Help build alerting to surface trends and anomalies in ads performance
  • Help automate recurring operational reporting to free up team bandwidth
Requirements
  • Bachelor's or Master's degree (recent grad or up to ~2 years of experience) in Computer Science, Software Engineering, or a related technical field
  • Solid software engineering fundamentals - data structures, algorithms, basic system design
  • Proficiency in at least one general-purpose programming language (Python, Java, Scala, or Go) and working knowledge of SQL
  • Coursework, academic projects, or internship experience involving data pipelines, backend services, or applied software systems
  • Exposure to distributed data processing concepts (Spark, Hive, or similar) is a plus, not required
  • Basic understanding of A/B testing and experimental design principles
Benefits

We offer a competitive benefits package:

  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget

Apply