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Remote Databricks Jobs in Pennsylvania (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

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 ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

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 ...

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ...

PAR Technology

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements ... Spark, Databricks, Structured Streaming * Databases: Relational (Postgres) and NoSQL (DynamoDB ...

NTT DATA Services

Power BI Developer (hybrid)

Oaks, PA · On-site +1

Integrate Power BI with Azure Data Factory, Synapse, Databricks, Snowflake, or other enterprise ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Power BI Developer (hybrid)

Oaks, PA · On-site +1

Integrate Power BI with Azure Data Factory, Synapse, Databricks, Snowflake, or other enterprise ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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All JobsRemote Databricks JobsRemote Databricks Jobs in Pennsylvania

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.
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Remote Databricks jobs near you

Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV

NavitasPartners

Pittsburgh, PA • On-site, Remote

$101K - $139K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

 Senior AI / ML Engineer - Enterprise Data & GenAI Solutions 

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

Overview: 

We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems. 

Key Responsibilities: 

  • Build and scale ML pipelines and GenAI applications  
  • Integrate AI solutions with enterprise data platforms  
  • Implement MLOps frameworks for automation and governance  
  • Optimize models and pipelines for performance and cost efficiency  

Required Skills: 

  • Strong experience in ML engineering, MLOps, and AI system design  
  • Expertise in Python, PyTorch, and related ML frameworks  
  • Experience with cloud platforms (AWS, Azure, GCP)  
  • Strong understanding of data pipelines and integration  

Nice to Have / Coverage: 

  • Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery  
  • Exposure to GenAI tools (LangChain, LLM orchestration frameworks)  
  • Knowledge of Responsible AI, governance, and compliance  
  • Experience in enterprise-scale AI deployments  

For more details reach at resumes@navitassols.com.

Apply