Azure Data Engineer Senior

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.