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Databricks Internships Jobs in New York (NOW HIRING)

TerraForm Power

Analyst, Performance

Manhattan, NY · On-site

$80K - $95K/yr

Build, maintain, and enhance Python-based ETL pipelines on Databricks using Delta Lake architecture ... Experience * 0-2 years of relevant experience (internship or academic experience acceptable)

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data ... Databricks or Microsoft Fabric • Familiarity with the principles of the software development ...

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

$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 ...

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 ...

Thinkbrg

Fall 2027 Advisory Associate

New York, NY · On-site

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

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Databricks Internships information

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 New York?

For Databricks Internships jobs in New York, the most frequently searched job titles are:

What job categories do people searching Databricks Internships jobs in New York look for?

The top searched job categories for Databricks Internships jobs in New York are:

What cities in New York are hiring for Databricks Internships jobs?

Cities in New York with the most Databricks Internships job openings:

Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in New York as of August 2026, with employment types broken down into 50% Internship, and 50% Temporary. Highlights an 100% In-person job distribution.

Analyst, Performance

TerraForm Power

Manhattan, NY • On-site

$80K - $95K/yr

Full-time

Re-posted 27 days ago

Job description

Analyst, Performance
Job Type: Exempt Salaried, Full-Time
Location: New York, NY (office onsite)
Reports To: Manager, Performance
Department: Operations
About Us
TerraForm Power ("TERP"), a platform company of Brookfield Renewable, attracts high-performing individuals who are driven to make an impact in a fast-paced and collaborative environment. We offer unparalleled opportunity to lead and manage one of the largest renewable energy businesses with decades of history, while contributing to the global need for sustainable energy.
We offer tremendous growth opportunity for individuals with an entrepreneurial mindset. The company is committed to employee development, encouraging curiosity, ownership, and continuous learning. You'll be empowered to take initiative, contribute ideas, and grow your career within a supportive and ambitious organization.
Job Summary
TerraForm Power is a leading owner, operator, and producer of renewable energy across North America. As a portfolio company of Brookfield Renewable, we own and operate approximately 2,200 MW of utility-scale wind, solar, and battery energy storage facilities across 15 U.S. states and Ontario, Canada.
Headquartered in New York City, TerraForm Power is committed to delivering reliable, innovative renewable energy solutions that help customers achieve their clean energy goals. Our experienced team manages every aspect of our operations - from power generation and asset management to commercial energy solutions - ensuring the safe, reliable, and efficient performance of our renewable energy facilities.
At TerraForm Power, our people are at the heart of our success. We foster a culture built on safety, integrity, collaboration, innovation, and continuous improvement, while investing in the development of our employees and supporting the communities where we operate through environmental stewardship, charitable giving, and meaningful local partnerships.
If you're passionate about renewable energy and want to make a lasting impact on the future of clean power, we invite you to join our team.
Key Responsibilities
  • Data Engineering & Pipelines
    • Build, maintain, and enhance Python-based ETL pipelines on Databricks using Delta Lake architecture

    • Manage end-to-end data flows, including ingestion, transformation, validation, and delivery to reporting tools
    • Support vendor API integrations, including authentication, schema management, and data quality monitoring
    • Implement data pipeline best practices, including error handling, logging, and automated alerting
  • Performance Analytics & Reporting
    • Support generation reporting processes and performance analytics across wind, solar, and storage assets
    • Assist in automating production guarantee calculations, including integration of weather datasets and performance models
    • Build and maintain reporting tools, dashboards, and automated outputs (e.g., Streamlit apps, HTML reports)
    • Perform data validation and support ongoing data quality improvement efforts
  • Data Management & Governance
    • Maintain and expand data models and table schemas for assigned datasets
    • Document data pipelines, data dictionaries, and system processes
    • Participate in code reviews and contribute to team engineering standards
  • Cross-Functional Collaboration
    • Partner with internal stakeholders to support data and reporting needs
    • Assist in troubleshooting data issues and supporting ad hoc analyses
    • Contribute to continuous improvement of analytics tools, systems, and processes
  • Health, Safety & Environment
    • Demonstrate alignment with company values, including a strong commitment to health, safety, and environmental performance

Qualifications
  • Education
    • Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related technical field
  • Experience
    • 0-2 years of relevant experience (internship or academic experience acceptable)
  • Technical Skills
    • Proficiency in Python and familiarity with SQL
    • Exposure to data pipelines, APIs, and structured/semi-structured datasets
    • Experience or familiarity with Databricks, Spark, or Delta Lake preferred
    • Exposure to data visualization or reporting tools (e.g., Streamlit, Power BI, Tableau)
    • Familiarity with time-series or renewable energy data is a plus
    • Exposure to SCADA or performance platforms (e.g., Bazefield) is a plus

Core Competencies
  • Strong analytical and problem-solving skills
  • High attention to detail and commitment to data quality
  • Ability to learn quickly and work in a fast-paced environment
  • Strong communication and collaboration skills
  • Intellectual curiosity and ownership mindset

Compensation: $80,000 - $95,000 USD; bonus eligible
A note to Recruiting Agencies, TerraForm Power Human Resources team does not accept unsolicited resumes from third party recruiters, staffing firms, or related agencies. The Human Resources team coordinates all recruiting and hiring at our company. We do not accept resumes from third-party recruiters unless authorized by the Human Resources team and if a signed agreement is in place. Any unsolicited resumes will be considered property of TerraForm Power and we are not responsible for any related fees. All communication related to recruiting partnerships should ONLY be directed to the Human Resources team.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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