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Databricks Internships Jobs in Secaucus, NJ (NOW HIRING)

Haize Labs

Software Engineer Intern

New York, NY

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Databricks, Robinhood, and more. Our core team is exceptionally fit for this mission. We turned ...

Haize Labs

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Databricks, Robinhood, and more. Our core team is exceptionally fit for this mission. We turned ...

Link Logistics

Engineer, Software

New York, NY · On-site

$185K - $245K/yr

Act as a technical lead for contractors and interns , providing guidance, code reviews, and ... SQL, Databricks/Spark for distributed processing * Prototyping: Streamlit for rapid internal ...

Link Logistics

Engineer, Software

New York, NY

$185K - $245K/yr

Act as a technical lead for contractors and interns , providing guidance, code reviews, and ... SQL, Databricks/Spark for distributed processing * Prototyping: Streamlitfor rapid internal ...

Tessera Labs

Product Manager, Intern

New York, NY · On-site

... Databricks and more. Our mission: bring real AI automation to the enterprise - with speed and ... Prior internship experience in product management, consulting, software engineering, design, or a ...

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Databricks Internships information

See Secaucus, NJ salary details

$27

$49

$66

How much do databricks internships jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for databricks internships in Secaucus, NJ is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $58.65 per hour, depending on experience, location, and employer.

What is a Databricks internship?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.

What types of projects and responsibilities can a Databricks intern expect during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

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

To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

What is the difference between Databricks Internships vs Data Engineer Internships?

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

How to get a job at Databricks?

To get a job at Databricks, candidates should have strong skills in data engineering, cloud computing, and programming languages like Python or Scala. Relevant experience with big data tools such as Apache Spark and a solid understanding of machine learning concepts can improve chances. Applying through the company's careers page and preparing for technical interviews are essential steps.

What are popular job titles related to Databricks Internships jobs in Secaucus, NJ?

For Databricks Internships jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Databricks Internships jobs in Secaucus, NJ look for?

The top searched job categories for Databricks Internships jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Databricks Internships jobs?

Cities near Secaucus, NJ with the most Databricks Internships job openings:

Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in Secaucus, NJ as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 2% Contract, and 4% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,060 per year, or $49.5 per hour.

Forward Deployed Agent Engineer, Early Career

Cogent Security

New York, NY • On-site

$100K - $160K/yr

Full-time

Posted 7 days ago

Job description

About Cogent Security
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Our AI Taskforce assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab - providing the research needed to make agentic security workflows a reality.
Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock and our team includes people from:
  • Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and Waterloo
  • High-growth companies like Scale AI, Databricks, Stripe, Tesla, and Coinbase
  • Cybersecurity leaders from Wiz, Abnormal AI, and Zscaler
  • Research labs like DeepMind and SAIL

About the Role
We're hiring a Forward Deployed Agent Engineer, New Grad to deploy AI agents in complex customer environments and drive measurable security outcomes. This is a highly cross-functional, forward-deployed role - you'll work directly with customers to understand their needs, adapt our platform to their environment, and continuously iterate on solutions that scale to millions of real-world events.
You'll have real ownership from day one. You'll own projects end-to-end: from initial implementation and data onboarding, to deploying in production, to integrating feedback into our core agent platform. Your work will directly shape how our agents detect threats, triage incidents, and automate security workflows for enterprise organizations.
This role is built for engineers who thrive in high-impact environments, want to see the tangible results of their work in the field, and are ready to operate with autonomy from the start.
What You'll Do
  • Design & Deploy AI Agents - build security-focused AI agents that reason over large datasets, interact with security systems, and handle complex real-world workflows
  • Own Implementations End-to-End - lead technical delivery for customers, from data ingestion and transformation pipelines to configuration, workflow design, and feature extension
  • Integrate the Latest Models at Scale - experiment with, evaluate, and ship text, voice, and multi-modal models into production environments
  • Adapt to Diverse Environments - work directly with customer security teams to integrate our agents with their tools, processes, and data sources
  • Drive Platform Evolution - identify cross-customer trends and translate field insights into platform improvements and new capabilities
  • Solve Complex Technical Problems - debug deep in the stack, investigate edge cases, and ensure our agents meet enterprise-grade reliability and performance standards

What We're Looking For
  • Graduating December 2026 or Spring 2027 with a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field
  • Proficiency in one or more programming languages (Python, Go, TypeScript, Java, or similar)
  • Strong software fundamentals - you've built and shipped real projects (coursework, internships, or personal) and can debug what breaks, with or without AI tooling
  • Strong communication skills, with the ability to translate between technical and non-technical contexts
  • Thrive in ambiguity, take ownership end-to-end, and prioritize customer outcomes over output

Bonus Points
  • Internship or project experience in customer-facing, forward-deployed, or consulting engineering roles
  • Exposure to early-stage startups where scope was ambiguous and you operated across functions
  • Familiarity with multi-modal AI models, enterprise SaaS, security operations, or large-scale data pipelines

For California Based Applicants
The standard base salary range for this position is $100,000 - $160,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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