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Databricks Internships Jobs in Secaucus, NJ (NOW HIRING)

Lawrence Harvey

Data Engineer

Edison, 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 ...

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 ...

Armaninollp

Data & AI Platform Engineer

New York, NY

$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 ...

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 ...

IBM

Data Engineer Intern 2027

New York, NY

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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$27

$49

$66

How much do databricks internships jobs pay per hour?

As of Sep 4, 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.

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

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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.

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

New York, NY • On-site

$152K - $210K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)
CSQ327R177
Mission
The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.
This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.
The impact you will have:
  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:
  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$152,900-$210,155 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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