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Manager Databricks Data Engineer Jobs in Pennsylvania

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

MHK TECH INC is seeking a Data Engineer to design and maintain robust data pipelines and manage ... Databricks. • Develop ETL/ELT processes to ingest, transform, and store structured and ...

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ... Manage and optimize data environments on platforms such as AWS, Azure, or GCP (e.g., Databricks ...

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and ... Manage and optimize data environments on platforms such as AWS, Azure, or GCP (e.g., Databricks ...

AVP, Lead Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake ... Experience leading or influencing cross-functional engineering teams; prior people management ...

AVP, Lead Data Engineer

Philadelphia, PA

$115K - $138K/yr

Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake ... Experience leading or influencing cross-functional engineering teams; prior people management ...

Senior Data Engineer, Malvern, PA (Onsite)

Malvern, PA · On-site

$112K - $134K/yr

Exposure to Snowflake, Databricks, or other modern data platforms. * AWS certifications are a plus. Technical Skills Programming: * Python (Advanced) * SQL Cloud & Data Services: * AWS Glue * Amazon ...

New

Data Engineer

Home, PA · On-site +1

$102K - $122K/yr

... and product management for First Quality's Data and Analytics systems and Machine Learning ... Strong proficiency in SQL, ADF, Azure Databricks or any other ETL tools. * Deep understanding of ...

Senior Platform Data Engineer

Danville, PA · On-site +1

$121K - $164K/yr

The Senior Platform Data Engineer owns roadmap, priorities, platform standards, and architecture ... Experience administering Databricks workspaces: cluster policies, compute management, access ...

Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake ... People leadership required: must have managed direct-report senior data engineers and/or technical ...

PA · On-site

$90 - $120/hr

Work within Databricks and Azure to design Lakehouse patterns, medallion architectures, and ... Own Commercial Data Domains Assist in managing and improving datasets across customers, sales ...

New

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Create, maintain and execute complex SQL queries for data management and data validation ... Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Create, maintain and execute complex SQL queries for data management and data validation ... Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake ...

Showing results 41-60

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.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

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 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Manager, Data Engineering

Publicis Groupe Holdings B.V

Philadelphia, PA • On-site

$88K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency


Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Overview

The Data Manager of Data Engineering will work in a hands-on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers.

You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols.

Responsibilities
  • Lead a portfolio of data projects across multiple clients
  • Design and manage scalable pipelines, including ingestion from APIs (REST, GraphQL, vendor feeds) and traditional ETL sources
  • Contribute to data architecture decisions to ensure efficient schema design, scalability, and governance across data warehouses and lakehouses
  • Partner with BI, Product, and Media Tech teams to automate data integrations and improve data flow reliability
  • Oversee ETL and metadata management to ensure stability, security, and compliance
  • Present issues, trends, and recommendations to internal and external stakeholders
  • Maintain best practices for handling, storing, and governing data
Qualifications
  • BS in Computer Science, Information Technology, or related field
  • Strong hands-on experience with PySpark (preferred language for data engineering and automation)
  • Proficiency in Python and SQL for data processing and automation
  • Experience building and maintaining API-based data pipelines, including authentication and error handling
  • Solid knowledge of modern data architecture (data modeling, governance, warehouse, lakehouse)
  • Experience with database structures, ETL, and cloud data platforms
  • Technical documentation skills and ability to communicate complex topics in simple, user-friendly terms

Specific Skills Required:

  • Cloud platforms: AWS, Azure, Databricks
  • Data warehouses/lakehouses: Snowflake, Redshift, Databricks Lakehouse
  • BI tools: Tableau, Datorama (preferred)
  • Strong collaboration skills with cross-functional teams
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

#LI-LV1

 Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/1/2026.Employment Type: FULL_TIME

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