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Summer Databricks Jobs in New York (NOW HIRING)

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Experience with cloud computing, ideally AWS and Databricks * Experience with numerical Python ...

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Experience with cloud computing, ideally AWS and Databricks * Experience with numerical Python ...

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 ... Summer/Fall 2026 (flexible) Tessera Labs is an equal opportunity employer and welcomes candidates ...

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Summer Databricks information

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

To excel as a Databricks Data Engineer, you need a solid background in data engineering, programming (Python, Scala, or SQL), and experience with big data platforms, usually backed by a relevant degree. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and certifications such as Databricks Certified Data Engineer are highly valued. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and deliver scalable data solutions. These competencies are crucial for building efficient data pipelines and driving data-driven decision-making in organizations.

What types of projects do interns typically work on during a Summer Databricks internship?

As a Summer Databricks intern, you will often work on impactful projects that contribute directly to the company's products and services. Interns may collaborate with full-time engineers and data scientists on tasks such as optimizing data pipelines, building new features for the Databricks platform, or improving machine learning workflows. You'll also have opportunities to participate in code reviews, team meetings, and cross-functional collaborations, providing valuable exposure to real-world software development practices and team dynamics.

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

AspectSummer DatabricksSummer Data Engineer
Required SkillsExperience with Databricks platform, Spark, SQL, PythonKnowledge of data pipelines, SQL, Python, cloud platforms
Work EnvironmentCollaborative team using Databricks for data analyticsDesigning and building data pipelines in cloud environments
Industry UsageTech, finance, healthcare companies leveraging DatabricksOrganizations managing large-scale data infrastructure

Both roles focus on data processing and analytics, with Summer Databricks emphasizing expertise in the Databricks platform and Spark, while Summer Data Engineer centers on building and maintaining data pipelines across cloud environments. The choice depends on specific technical skills and project focus.

What is a Summer Databricks internship?

Summer Databricks internships are temporary, full-time positions offered to students or recent graduates during the summer months at Databricks, a company known for its unified analytics and data engineering platform. Interns typically work on real-world projects related to big data, machine learning, and cloud computing, gaining hands-on experience with Databricks' technologies. These internships provide mentorship, networking opportunities, and a chance to contribute to impactful projects, often leading to career opportunities in data engineering and analytics.
What are the most commonly searched types of Databricks jobs in New York? The most popular types of Databricks jobs in New York are:
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Summer Databricks jobs near you

Quantitative Developer Intern

Point72

New York, NY • On-site

$21 - $27.50/hr

Internship

Re-posted 11 days ago

Job description


A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.
We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.
You will gain exposure to a variety of activities, which may include:
  • Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
  • Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
  • Improving research and trading tools and infrastructure
Desirable Candidates
  • Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
  • Strong programming experience in Python with production-level coding quality
  • Experience with Unix environment and shell scripting
  • Experience with cloud computing, ideally AWS and Databricks
  • Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
  • Knowledge of version control (Git) and software CI/CD tools and lifecycle
  • Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Prior experience in the financial services industry is not required
  • Commitment to the highest ethical standards

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.

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