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Remote Databricks Jobs in Pennsylvania (NOW HIRING)

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

Pittsburgh, PA (Hybrid Preferred) | Remote Considered Type: Full-Time Overview: We are seeking a Databricks MVP Architect to lead the design and evolution of our enterprise data platform. This role ...

Hybrid in Pittsburgh, PA 15205 ( 3 Days On-Site / 2 Days Remote ) | OR | Remote (1st pref-EST; 2nd ... Databricks certifications such as Data Engineer Professional or Solution Architect * Experience ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Senior Data Engineer

Philadelphia, PA · Remote

$107K - $145K/yr

We support over 625,000 members nationwide with life-saving emergency response systems and remote ... Optimize production Databricks pipelines using PySpark, Spark SQL, and Delta Lake, including Spark ...

... Databricks as the long-term data store. The workload is bursty and high throughput, so the role ... This is a fully remote contract position. The candidate must be located in the United States and ...

US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking a GenAI & Agentic ... Data Engineering: Databricks, Snowflake, Synapse, BigQuery * Cloud/Data Architecture alignment ...

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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 Pennsylvania? The most popular types of Databricks jobs in Pennsylvania are:
What job categories do people searching Remote Databricks jobs in Pennsylvania look for? The top searched job categories for Remote Databricks jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Databricks jobs? Cities in Pennsylvania with the most Remote Databricks job openings:
Databricks Architect

Databricks Architect

CEI

Pittsburgh, PA • On-site, Remote

$62.75 - $82.50/hr

Full-time

Posted 27 days ago


Job description

Databricks MVP Architect

Location: Pittsburgh, PA (Hybrid Preferred) | Remote Considered
Type: Full-Time

Overview:

We are seeking a Databricks MVP Architect to lead the design and evolution of our enterprise data platform. This role combines strategic architecture, hands-on leadership, and expertise in building scalable Lakehouse solutions on Databricks.

Current Databricks MVP designation is required.

Responsibilities:
  • Architect and lead enterprise data and AI solutions on Databricks.
  • Design and optimize Lakehouse architectures using Delta Lake and Unity Catalog.
  • Establish data governance, security, and architecture standards.
  • Partner with business and technical stakeholders to drive data strategy.
  • Mentor engineering teams and provide technical leadership.
Requirements:
  • Active Databricks MVP designation (Required)
  • 10+ years of Data Engineering, Data Architecture, or Cloud Architecture experience.
  • 5+ years of hands-on Databricks experience.
  • Expert knowledge of Databricks, Delta Lake, Unity Catalog, PySpark, and Spark SQL.
  • Experience with AWS, Azure, or GCP.
  • Strong leadership and stakeholder management skills.
Preferred:
  • Databricks Professional Certifications.
  • Experience with AI/ML and Generative AI workloads.
  • Consulting or client-facing architecture experience.

Key Skills: Databricks MVP, Databricks Lakehouse, Delta Lake, Unity Catalog, PySpark, Spark SQL, Data Architecture, Cloud Architecture, Data Governance, AI/ML, Technical Leadership.
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