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Manager Databricks Data Engineer Jobs in Bear, DE

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

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 ...

Data Engineer

Wilmington, DE · On-site

$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

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview ... Databricks), Airflow, Relational Databases Nice to Haves: Snowflake, NoSql Databases TDD, CI/CD ...

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is ... Experience working with Apache Spark and Databricks * Proficiency in workflow orchestration tools ...

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Manager Databricks Data Engineer information

See Bear, DE salary details

$42.8K

$124.8K

$170.7K

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

As of Aug 22, 2026, the average yearly pay for manager databricks data engineer in Bear, DE is $124,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 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 the most commonly searched types of Databricks Data Engineer jobs in Bear, DE?

The most popular types of Databricks Data Engineer jobs in Bear, DE are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Bear, DE?

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

Infographic showing various Manager Databricks Data Engineer job openings in Bear, DE as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $124,755 per year, or $60 per hour.

Data Engineer

Amerihealth Caritas

Newtown Square, PA • Hybrid

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

129th of 311 rated insurance


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 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 agile delivery practices.

Work Arrangement:

  • This is a HYBRID, office based position working in our Ellis Preserve office located in Newtown Square, PA. Core offcie 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
  • 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
  • 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

  • Bachelor's degree in computer science, Information Systems, Software Engineering
  • Technical: Hands on experience with Azure Data Factory (4+ years), Azure Databricks (4+ years), HVR (2+ years), Kafka (4+ years), Event Hubs (2+ years), Snowflake (4+ years), Azure Data Lake Storage, PySpark (8+ years), and SQL (8+ years)
  • Modeling: 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
  • Leadership: Track record of conducting code reviews, providing technical guidance
  • 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 are looking for the next generation of health care leaders.

At AmeriHealth Caritas, we are 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 would like to connect with you.

Headquartered in Newtown Square, 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

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