ZipRecruiter

Log In

1

Manager Databricks Data Engineer Jobs in Philadelphia, PA

Amerihealth Caritas

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 ...

Amerihealth Caritas

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 ...

CEI

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 ...

QVC

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 ...

Pwc

Data Engineer - Senior Manager

Philadelphia, PA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Pwc

Data Engineer - Manager

Philadelphia, PA

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Pepperidge Farm, Incorporated

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.

Campbell's

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.

Pwc

Data Engineer - Senior Associate

Philadelphia, PA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage ... Hands-on expertise with Databricks, PySpark, Python SQL . * Experience with Azure Fabric ...

UGI

Lead Data Engineer

King Of Prussia, PA

$111K - $134K/yr

Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data ... Databricks, including Delta Lake, Apache Spark, and cluster management * Proven experience ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsManager Databricks Data Engineer JobsManager Databricks Data Engineer Jobs in Philadelphia, PA

Manager Databricks Data Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do manager databricks data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager databricks data engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

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 Philadelphia, PA?

The most popular types of Databricks Data Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Philadelphia, PA?

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

What job categories do people searching Manager Databricks Data Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Manager Databricks Data Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Manager Databricks Data Engineer jobs?

Cities near Philadelphia, PA with the most Manager Databricks Data Engineer job openings:

Manager Databricks Data Engineer jobs near you

Databricks Data Engineer

Geethanjali College of Engineering and Technology

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Posted 7 hours ago

Posted today

Job description

Senior Databricks Data Engineer
Location: Chicago-IL - Hybrid 3 days at On-site
Duration: 6 months
Role Descriptions:
Key Responsibilities
• Pipeline Development - Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
• Data Warehousing - Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) - design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
• Data Modeling - Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
• Performance Tuning - Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
• Governance & Quality - Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
• Collaboration - Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
• CI/CD & Automation - Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.
Required Skills & Experience
• Total Experience: 10+ years in data engineering or related roles.
• Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) - must have production level work.
• Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) - design, optimisation, and administration.
• Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
• Programming: Expert in Python and SQL - ability to write maintainable, production grade code.
• Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
• Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
• Version Control: Proficient with Git and collaborative development workflows.
Preferred Qualifications
• Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
• Knowledge of data mesh or data fabric architectures.
• Familiarity with BI tools (Power BI, Tableau, Looker).
• Databricks certification (e.g., Associate or Professional Data Engineer).
• Experience with dbt (data build tool) and transformation testing.
• Exposure to MLflow or MLOps practices.
Education & Soft Skills
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• Strong communication skills
• Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword:
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above

Apply