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Databricks Software Jobs in New York (NOW HIRING)

Databricks

Staff Backend Software Engineer

New York, NY · On-site

$190K - $261K/yr

P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development ...

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Azure Databricks Engineer Job Location: Iselin, NJ (Hybrid/Local candidates only) Job Type: Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills: * Strong ...

Databricks

Staff Product Designer, AI Products

New York, NY · On-site

$166K - $229K/yr

RDQ327R178 At Databricks, we design tools that make complex data workflows intuitive and powerful ... Familiarity with data, analytics, AI, or enterprise software is highly valued. * The strongest ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in New York? For Databricks Software jobs in New York, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in New York look for? The top searched job categories for Databricks Software jobs in New York are:
What cities in New York are hiring for Databricks Software jobs? Cities in New York with the most Databricks Software job openings:
Databricks Software jobs near you
Senior Software Engineer - AI Platform (NYC)

Senior Software Engineer - AI Platform (NYC)

Databricks

New York, NY

$134K - $176K/yr

Other

Re-posted 26 days ago

Job description

P-1606

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you'll have the opportunity to be part of a small, nimble team that's innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

  • Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
  • Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
  • Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
  • Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
  • Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
  • Drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

  • 5+ years of experience with HTML, CSS, and JavaScript
  • Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
  • You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
  • High ownership and bias for action in 01 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
  • Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
  • 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
  • Proven experience building and shipping end-to-end generative AI products
  • Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

Apply