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Databricks Jobs in Pennsylvania (NOW HIRING)

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

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 ...

Syntrux & Co

Databricks Admin Architect

King Of Prussia, PA · On-site

$63.25 - $83/hr

Databricks Admin Architect Location: King of Prussia, PA( In-Person interview) We are looking for a Databricks Admin Architect to manage, architect, and optimize enterprise Databricks environments.

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

Databricks Technical Architect Location : Hybrid in Pittsburgh, PA 15205 ( 3 Days On-Site / 2 Days Remote ) | OR | Remote (1st pref-EST; 2nd pref-CST) Work Schedule/Shift : Monday to Friday, Standard ...

Syntrux & Co

Databricks Admin Architect

King Of Prussia, PA · On-site

$63.25 - $83/hr

We are looking for a Databricks Admin Architect to manage, architect, and optimize enterprise Databricks environments. Responsibilities: * Design and manage Databricks workspaces, clusters, compute ...

Spartan Solutions INC

Databricks Architect

Philadelphia, PA · On-site

$65.25 - $85.75/hr

Senior Databricks Architect Location : Philadelphia PA hybrid position Required Skills: Databricks Python , PySpark & Spark SQL Delta Lake & Lakehouse Architecture Python & Advanced SQL Azure/AWS ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

Tror AI for everyone

Databricks Lead

Chester, PA · On-site

$57 - $74.50/hr

Title -Databricks Lead Location - Chester, Newtown Square PA Duration - Contract/FTE The Role offers An outstanding opportunity to imagine, redesign, and apply technology to add value to the business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

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Databricks information

See Pennsylvania salary details

$23.6K

$37.8K

$51.1K

How much do databricks jobs pay per year?

As of Aug 23, 2026, the average yearly pay for databricks in Pennsylvania is $37,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $41,600.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Pennsylvania?

The most popular types of Databricks jobs in Pennsylvania are:

What are popular job titles related to Databricks jobs in Pennsylvania?

For Databricks jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Pennsylvania look for?

The top searched job categories for Databricks jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Databricks jobs?

Cities in Pennsylvania with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Pennsylvania as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $37,804 per year, or $18.2 per hour.

Databricks Architect

CEI

Pittsburgh, PA • On-site, Remote

$62.75 - $82.50/hr

Full-time

Re-posted 19 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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