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Remote Azure Databricks Jobs in New Jersey (NOW HIRING)

$105K - $145K/yr

... Databricks. We deliver professional services engagements to help our customers build and ... This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ...

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 ...

$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 ...

$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 ...

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Experience in working with modern ETL tools and data pipeline platforms (e.g., Databricks, Azure ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Experience in working with modern ETL tools and data pipeline platforms (e.g., Databricks, Azure ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

Architect and manage Databricks workspaces, including compute cluster configuration, access ... Manage Azure networking, storage, identity (Azure AD / Entra ID), and resource governance across ...

Sr. Database Administrator

Edison, NJ · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Remote Azure Databricks information

What is a remote Azure Databricks?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are common challenges faced by remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What are the most commonly searched types of Azure Databricks jobs in New Jersey? The most popular types of Azure Databricks jobs in New Jersey are:
What are popular job titles related to Remote Azure Databricks jobs in New Jersey? For Remote Azure Databricks jobs in New Jersey, the most frequently searched job titles are:
What cities in New Jersey are hiring for Remote Azure Databricks jobs? Cities in New Jersey with the most Remote Azure Databricks job openings:

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

Databricks

On-site, Remote

$105K - $145K/yr

Full-time

Re-posted 7 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)