1

Manager Databricks Data Engineer Jobs in Downingtown, PA

Data Engineer

West Chester, PA · On-site

$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 ...

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 ...

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

Utilize MWAA (Managed Workflows for Apache Airflow) to orchestrate and manage data workflows ... Databricks * Experience building and maintaining large-scale ETL/ELT pipelines. * Strong ...

Lead Data Engineer

King Of Prussia, PA · On-site

$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 ...

Lead Data Engineer

King Of Prussia, PA · On-site

$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 ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Data Engineer Location:Malvern PA Openings: 3 Duration: Contract Job Summary We are seeking an ... Financial Services or Asset Management experience. * Snowflake or Databricks. * Apache Iceberg ...

Databricks Admin Architect

King Of Prussia, PA · On-site

$63.25 - $83/hr

Support automation, CI/CD, monitoring, and infrastructure management. * Collaborate with data engineering, security, cloud, and architecture teams. Required Skills: Databricks Administration, Unity ...

Databricks Admin Architect

King Of Prussia, PA · On-site

$63.25 - $83/hr

Support automation, CI/CD, monitoring, and infrastructure management. * Collaborate with data engineering, security, cloud, and architecture teams. Required Skills: Databricks Administration, Unity ...

Data Engineer

Wilmington, DE

$111K - $133K/yr

... manage field mappings and transformations to support consistent downstream consumption. Data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

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 ...

next page

Showing results 1-20

Manager Databricks Data Engineer information

See Downingtown, PA salary details

$46.1K

$134.5K

$184.1K

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

As of Aug 27, 2026, the average yearly pay for manager databricks data engineer in Downingtown, PA is $134,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $142,600.00 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.

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 popular job titles related to Manager Databricks Data Engineer jobs in Downingtown, PA?

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

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

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

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

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

Azure Data Engineer Senior

Newtown Square, PA • Hybrid


Amerihealth Caritas
Health Care and Social Assistance • 5 - 10K employees

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

131st of 313 rated insurance

Great coworkers

Good employer

Paid breaks


$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.

WE WILL NOT CONSIDER REMOTE CANDIDATES!

Role Overview

The Senior Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ingest diverse data sources, on distributed compute, real-time streaming, and dimensional modeling, combined with strong Agile delivery practices and leadership in guiding junior developers. Experience with GenAI technologies is increasingly important as the organization evolves toward intelligent data products.

Work Arrangement

  • This a HYBRID office based position working in our Ellis Preserve office located in Newtown Square, PA. Core office days are Tuesday, Wednesday, and Thursday.

Responsibilities

  • Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks, Azure Event Hubs, Kafka, HVR, Snowflake, and Azure Data Lake Storage
  • Pipeline Development: Build robust ETL/ELT pipelines for batch and streaming workloads using PySpark and SQL, ensuring fault tolerance, schema evolution handling, and idempotency
  • API Ingestion: Implement reliable API data ingestion patterns including authentication, pagination, rate limit handling, retries, and schema mapping
  • Real time Integration: Design and operate event driven ingestion and processing using Event Hubs and Kafka, and integrate CDC solutions using HVR
  • Performance Optimization: Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets
  • DevOps & CI/CD: Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and repeatable deployments across environments
  • Code Quality & Mentorship: Perform code reviews, enforce coding standards and best practices, and mentor junior developers to raise team capability
  • Gen AI Enablement: Apply Gen AI knowledge to accelerate development (code generation, data documentation, prompt engineering for data tasks) and to integrate AI driven data products where applicable
  • Stakeholder Collaboration: Work with product owners, data scientists, analysts, and architects to translate business requirements into prioritized user stories and deliverables in Agile sprints
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Identify and tackle issues concerning data management to improve data quality
  • Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage

Education and Experience

  • Master's degree in computer science, Information Systems, Software Engineering
  • Technical: Hands on experience with Azure Data Factory (6+ years), Azure Databricks (6+ years), HVR (3+ years), Kafka (5+ years), Event Hubs (3+ years), Snowflake (5+ years), Azure Data Lake Storage, PySpark (10+ years), and SQL (12+ years)
  • Modeling: Strong expertise in dimensional modeling, SCD implementation, and data warehouse best practices
  • Agile Delivery: Proven experience delivering data projects in Agile (Scrum or Kanban) teams
  • DevOps: Practical experience with Azure DevOps for CI/CD, branching strategies, and pipeline automation
  • Performance: Demonstrated ability to profile and optimize Databricks jobs and large scale data processing workloads
  • Integration: Experience ingesting data from REST APIs and external systems, handling schema drift and error handling
  • Leadership: Track record of conducting code reviews, providing technical guidance, and mentoring junior engineers
  • Communication: Clear communicator able to present technical tradeoffs to technical and non technical stakeholders
  • Experience with Collibra Data governance features
  • Familiarity with MLOps patterns and integrating data platforms with ML pipelines
  • Azure certifications such as DP 700, AZ 400, or Databricks Data Engineer certification
  • Prior work with cost optimization and observability tools for cloud data platforms
  • Practical experience applying Gen AI (LLMs, embeddings, retrieval augmentation) to data engineering workflows]

Other Skills

  • Problem solving: Analytical approach to diagnose performance and data quality issues
  • Collaboration: Strong team player who partners effectively across product, analytics, and platform teams
  • Mentorship: Patient, constructive coach who elevates code quality and engineering practices
  • Adaptability: Comfortable with shifting priorities and iterative delivery in fast moving environments

Our Comprehensive Benefits Package

Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.

Your career starts now. We're looking for the next generation of health care leaders.

At AmeriHealth Caritas, we're passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we'd like to hear from you.

Headquartered in Newtown Square, PA, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.

Discover more about us at www.amerihealthcaritas.com.

Employment Type: FULL_TIME


What AmeriHealth Caritas employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom