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Remote Databricks Developer Jobs in New Jersey (NOW HIRING)

Databricks

$105K - $145K/yr

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Databricks AI research to solve customer problems * Own production rollouts of consumer and ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Jj

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 ...

Jj

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 ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

... (DevOps) a plus * Experience working in Microsoft tech stack preferred Physical Requirements * Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

- Zoetis Belgium S.A.

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

... (DevOps) a plus * Experience working in Microsoft tech stack preferred Physical Requirements * Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Tiger Analytics Inc.

Principal Architect

Jersey City, NJ · Remote

... remote global workforce. If you are passionate about working on business problems that can be ... We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role ...

Princeton University

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

... DevOps to backend services and data pipelines - and will have meaningful ownership over the ... Architect and manage Databricks workspaces, including compute cluster configuration, access ...

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in New Jersey

Remote Databricks Developer information

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

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

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

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are the most commonly searched types of Databricks Developer jobs in New Jersey? The most popular types of Databricks Developer jobs in New Jersey are:
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Remote Databricks Developer jobs near you
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 20 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)

Apply