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Remote Databricks Developer Jobs in Hellertown, PA

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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 cities near Hellertown, PA are hiring for Remote Databricks Developer jobs? Cities near Hellertown, PA with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you

GenAI & Agentic AI Engineer - Enterprise AI Platforms - AIRLHV

NavitasPartners

Allentown, PA • On-site, Remote

Other

Posted 14 days ago

Job description

 GenAI & Agentic AI Engineer - Enterprise AI Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are seeking a GenAI & Agentic AI Engineer to design and deliver next-generation AI solutions leveraging LLMs and autonomous agents across enterprise platforms. 

Key Responsibilities: 

  • Design and develop GenAI and agent-based AI solutions  
  • Build scalable AI systems integrated with enterprise data platforms  
  • Collaborate with data engineers, architects, and business teams  
  • Ensure performance, governance, and reliability of AI systems  

Required Skills: 

  • Strong experience in AI/ML and GenAI development  
  • Cloud exposure (AWS, Azure, GCP)  
  • Hands-on experience with LLMs and AI frameworks  

Nice to Have / Coverage: 

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps  
  • Data Engineering: Databricks, Snowflake, Synapse, BigQuery  
  • Cloud/Data Architecture alignment across AWS, Azure, GCP  
  • AI Governance: Responsible AI and compliance considerations  

For more details reach at resumes@navitassols.com.

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