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# Data Engineer

- **Company:** Reply Inc
- **Location:** Philadelphia, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Database, Databases, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Data Security, Data Sharing, Data Warehousing, DevOps, Distributed Computing Environment, Github, Apache Hive, Python (Programming Language), PostgreSQL, Microsoft Software, SQL Azure, Power BI, Requirements Management, SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Enterprise Software Applications, Data Ingestion, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Analytics, Cosmos DB, Data Management, Tools for Reporting, Docker, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-philadelphia-pa--c3b0d2cb-901e-4c1b-8cdb-2dfb0b38c8c5

## About the Role

Customer Experience, Business Model, Business Services, Microsoft Product Family, Business Strategy, User Experience Design (UXD), Power BI, Consulting, Microsoft Windows Azure, Requirements Management, * Bachelor's degree in Computer Science; Engineering or related field.

 * 6+ years of experience in data engineering, data platform development, or cloud data solutions
 * 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
 * Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
 * Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
 * DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
 * Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications

 * Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
 * Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
 * Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
 * Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft

## Description

* Work directly with clients to understand business goals, data challenges, and technical requirements
 * Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
 * Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
 * Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
 * Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
 * Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security, Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.