Data Engineer
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Role details
Tech stack
Job description
Join a high-impact team as a Data Engineer supporting Pratt & Whitney in Plano, TX. You’ll leverage cutting-edge cloud technology and robust data engineering frameworks to build, optimize, and maintain enterprise-scale data solutions. This role offers direct collaboration with analytics teams, opportunities to work on high-profile aerospace data projects, and the ability to influence data-driven decision making. Accelerate your career in a dynamic and innovative work environment with world-class tools and supportive leadership., Design, develop, and maintain robust end-to-end data pipelines using Azure Databricks and data ingestion tools
- Engineer scalable frameworks for ingesting data from APIs, databases, files, and cloud sources (batch and incremental processes)
- Optimize complex data transformations using Spark, SQL, and Python for analytics and machine learning initiatives
- Develop and refine data models to support Power BI reporting and advanced analytics
- Partner with analytics teams to deliver high-quality datasets and reporting solutions
- Ensure data quality, reliability, and consistency via validation frameworks and monitoring systems
- Optimize pipeline, storage, and compute resources within the Azure ecosystem
- Implement and uphold data governance practices, including lineage, cataloging, and comprehensive documentation
- Support CI/CD processes for seamless deployment of data engineering workflows
Requirements
5+ years of experience in Data Engineering
- Deep expertise with data ingestion (ETL/ELT), Azure Data Factory, and data modeling
- Advanced proficiency in Azure Databricks (PySpark/Spark SQL) and medallion architecture
- Familiarity with SQL, relational, and NoSQL databases
- Strong experience with data lake/warehouse platforms (Azure Data Lake, One Lake, Delta Tables)
- Proven ability to work with large structured and semi-structured datasets
- Effective collaboration and communication skills to translate business requirements into technical solutions
- US Citizenship required (ITAR compliance)
[Preferred Skills]
- Experience supporting Power BI analytics and reporting environments
- Hands-on exposure to CI/CD tools for data engineering, Python and AWS
Benefits & conditions
Work on high-visibility aerospace data projects with significant impact
- Access to the latest Azure technologies and professional development resources
- Collaborative, growth-focused team culture
- Competitive compensation with full benefits (details provided upon interview)
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