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Manager Databricks Data Engineer Jobs in Pennsylvania

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days ... Implement and manage Unity Catalog to support enterprise data governance, security, metadata ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and ...

Data Engineer - Databricks, AWS, Python

Philadelphia, PA · Remote

$109K - $131K/yr

Data Engineer - Databricks, AWS, Python 100% Remote / MUST interview on-site: Phila., PA 19103 $125 ... Use Terraform to provision, configure, and manage cloud infrastructure supporting data engineering ...

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ... g., Azure DevOps). * Experience in data warehouse design (e.g., slow changing dimensions ...

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Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

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

The most popular types of Databricks Data Engineer jobs in Pennsylvania are:

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

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

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

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

What cities in Pennsylvania are hiring for Manager Databricks Data Engineer jobs?

Cities in Pennsylvania with the most Manager Databricks Data Engineer job openings:

Infographic showing various Manager Databricks Data Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Urgent Need: AWS Databricks Data Engineer - Malvern, PA (Hybrid)

Drevol LLC

Malvern, PA • On-site

$112K - $134K/yr

Other

Posted 23 days ago


Job description

Hi,
Hope you are doing well.
 
This is Tahir from Drevol LLC. Please find below the job description for your reference and please let me know if you are interested in this position.
 
Job Title: AWS Databricks Data Engineer
Location: Malvern, PA (Hybrid)
Duration: 12 Months
Core Expertise
Databricks Ecosystem: Strong hands-on experience with Delta Lake, Auto Loader, Delta Live Tables (DLT), Databricks Workflows, and Unity Catalog.  
AWS Cloud: Deep familiarity with Amazon S3, AWS Glue, IAM, Lambda, KMS, Secrets Manager, and Redshift or Athena.  
Programming Languages: Advanced proficiency in Python (PySpark) and SQL (complex joins, window functions, performance optimization).  
Data Engineering Concepts: Solid expertise in modern data warehousing, data modeling (Kimball, Data Vault), and ETL/ELT pipeline design principles.