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Databricks Internships Jobs in New York (NOW HIRING)

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

... Computer Science, or a related field; internships and academic projects are considered ... Exposure to Databricks, Apache Spark, or PySpark * Understanding of Delta Lake or medallion ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

... Computer Science, or a related field; internships and academic projects are considered ... Exposure to Databricks, Apache Spark, or PySpark * Understanding of Delta Lake or medallion ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Experience with cloud computing, ideally AWS and Databricks * Experience with numerical Python ...

Armaninollp

Data & AI Platform Engineer

New York, NY · On-site

$125K - $150K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Armaninollp

Data & AI Platform Engineer

Garden City, NY · On-site

$117K - $141K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

TerraForm Power

Analyst, Performance

Manhattan, NY · On-site

Responsibilities : • Build, maintain, and enhance Python-based ETL pipelines on Databricks using ... internship or academic experience acceptable) • Proficiency in Python and familiarity with SQL ...

IBM

Data Engineer Intern 2027

New York, NY · On-site

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

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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.

Data Engineer

LHi Group Ltd

Woodbridge, NJ • On-site

$88K - $105K/yr

Other

Posted 12 days ago

Job description

Data Engineer | Metropark, New Jersey
Hybrid | $88,000-$105,000 Base + Bonus
We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern data pipelines and cloud-based data infrastructure.
This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.
Key Responsibilities
  • Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
  • Ingest and organize raw data within the Bronze layer
  • Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
  • Develop SQL and PySpark transformations based on defined business and technical requirements
  • Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
  • Work with structured and semi-structured data within cloud-based data environments
  • Collaborate closely with senior data engineers to learn and apply modern data engineering practices
  • Contribute to scalable and reliable data solutions using version-controlled development practices

Required Qualifications
  • 0-2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
  • Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
  • Experience with Python and an understanding of basic object-oriented programming concepts
  • Understanding of core data concepts, including tables, schemas, relational databases, and data structures
  • Familiarity with Git or demonstrated ability to quickly learn version-control practices
  • Strong interest in developing expertise across Databricks, Spark, and cloud technologies
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications
  • Exposure to Databricks, Apache Spark, or PySpark
  • Understanding of Delta Lake or medallion architecture
  • Experience with Azure, AWS, or Google Cloud Platform
  • Databricks certification
  • Exposure to BI, reporting, or data visualization tools
  • Academic or project experience building data pipelines or working with data transformation workflows

Compensation & Work Arrangement
Salary: $88,000-$105,000 base salary + discretionary bonus
Work Arrangement: Hybrid
This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.
Interested in learning more? Apply directly or reach out to for additional information.
Data Engineer | Hybrid | Metropark, New Jersey

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