Senior Data Engineer

Senior Data Engineer Location: Fully Remote (US Based) Duration: 8-Month Contract (Likely Extension) Hours: 40 Hours per Week Engagement: W2 or Individual LLC Overview We are seeking a Senior Data Engineer to support a large-scale modernization initiative within a manufacturing organization. This individual will play a key role in designing, building, and optimizing enterprise data pipelines and helping evolve the organization's modern data platform. The ideal candidate has deep experience with Databricks, Spark, Python, and SQL, and is comfortable working across large datasets, cloud infrastructure, and cross-functional teams. This is a hands-on engineering role focused on delivering scalable and reliable data solutions that support analytics, reporting, operational intelligence, and advanced analytics initiatives. Responsibilities • Design, develop, and maintain scalable data pipelines using Databricks and PySpark • Build and optimize ETL/ELT workflows that process large volumes of structured and semi-structured data • Develop robust data models and datasets to support analytics and business intelligence initiatives • Collaborate with analytics, platform, and business teams to understand data requirements and deliver high-quality solutions • Improve pipeline performance, reliability, monitoring, and operational efficiency • Implement data quality controls, validation processes, and best practices • Support cloud-based data architecture and modernization efforts • Participate in code reviews and contribute to engineering standards and best practices • Troubleshoot and resolve production data issues • Create and maintain technical documentation for data assets and workflows Required Experience • 5+ years of Data Engineering experience • Strong hands-on experience with Databricks • Advanced PySpark and Apache Spark development experience • Strong Python programming skills • Advanced SQL skills, including query optimization and performance tuning • Experience building production-grade ETL/ELT pipelines • Experience working with cloud platforms (AWS preferred) • Experience supporting large-scale data platforms and modern data architectures • Familiarity with orchestration tools such as Airflow or similar technologies • Experience working within Agile development environments