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Remote Databricks Jobs in New Jersey (NOW HIRING)

$105K - $145K/yr

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems * Own production ...

Databricks SME • Timeline: Project initiation expected in mid-July through November. • Key Ask ... Hybrid - Jersey City, NJ (preferred) • Open to remote as well or near other client offices ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

... remote global workforce. If you are passionate about working on business problems that can be ... Design and develop scalable Databricks-based architectures to process and analyze large-scale life ...

Manager Data Engineering

New Brunswick, NJ · On-site +1

$118K - $141K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data ... Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS ...

Manager Data Engineering

Raritan, NJ · On-site +1

$117K - $140K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data ... Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS ...

Manager Data Engineering

Raritan, NJ · On-site +1

$117K - $140K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data ... Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS ...

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Manager Data Engineering

New Brunswick, NJ · On-site +1

$118K - $141K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data ... Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS ...

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Remote Databricks information

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

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are the most commonly searched types of Databricks jobs in New Jersey? The most popular types of Databricks jobs in New Jersey are:
What are popular job titles related to Remote Databricks jobs in New Jersey? For Remote Databricks jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in New Jersey look for? The top searched job categories for Remote Databricks jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Databricks jobs? Cities in New Jersey with the most Remote Databricks job openings:
Infographic showing various Remote Databricks job openings in New Jersey as of July 2026, with employment types broken down into 2% Locum Tenens, 7% As Needed, 79% Full Time, 5% Part Time, 4% Contract, and 3% Nights. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Databricks

On-site, Remote

$105K - $145K/yr

Other

Posted 24 days ago


Job description

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic onsite work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

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. This role can be remote.

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)