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Databricks Data Engineer Jobsexternal in Hoboken, NJ (NOW HIRING)

Databricks

Sr. Product Manager - Technical

Manhattan, NY · On-site

$183K - $212K/yr

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA ...

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New York, NY · On-site

$156K - $215K/yr

... Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Hoboken, NJ

Databricks Data Engineer information

See Hoboken, NJ salary details

$48.7K

$141.9K

$194.2K

How much do databricks data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for databricks data engineer in Hoboken, NJ is $141,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Hoboken, NJ? The most popular types of Databricks Data Engineer jobs in Hoboken, NJ are:
What are popular job titles related to Databricks Data Engineer jobs in Hoboken, NJ? For Databricks Data Engineer jobs in Hoboken, NJ, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Hoboken, NJ look for? The top searched job categories for Databricks Data Engineer jobs in Hoboken, NJ are:
What cities near Hoboken, NJ are hiring for Databricks Data Engineer jobs? Cities near Hoboken, NJ with the most Databricks Data Engineer job openings:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Hoboken, NJ as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $141,921 per year, or $68.2 per hour.

Sr. Product Manager - Technical

Databricks

Manhattan, NY • On-site

$183K - $212K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Databricks is a data and AI company that empowers data teams to solve complex problems through its innovative platform. The Technical Product Manager will collaborate with product managers and engineering teams to enhance user experiences and ensure the product meets both functional and non-functional requirements.
Responsibilities:
• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform
Qualifications:
Required:
• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across full spectrum of Data Platform users
• Deep domain expertise in one of the following: Transactional databases (OLTP), cloud-native databases, or distributed systems
• Deep domain expertise in one of the following: Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI-assisted development tools
• Experience with systems design and architecture
• Proven ability to work effectively across product, engineering, and technical field teams
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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