(W2 ONLY) Senior Data Engineer – Modeling / Python / PySpark
Initially remote but then onsite from Rutherford, NJ. We are seeking a Senior Data Engineer to design, develop, and implement scalable data solutions and processing pipelines. The ideal candidate will have strong hands-on experience in data modeling, SQL, Python, and PySpark/Spark, with the ability to work closely with development, application, and business teams to translate data requirements into effective technical solutions.Key ResponsibilitiesDesign and develop scalable data solutions, pipelines, and data processing frameworks.Create and maintain logical and physical data models in collaboration with developers and technical stakeholders.Translate business and application requirements into effective data models and data structures.Develop and implement data processing solutions using Python and PySpark/Spark.Write and optimize complex SQL queries for data processing and analysis.Implement data solutions across data warehouses and data lakes.Optimize data processing performance, data quality, and reliability.Collaborate with application, development, and business teams to understand data requirements and deliver scalable solutions.Support data initiatives related to analytics, Artificial Intelligence, and Machine Learning.Contribute to data governance, quality, and best practices across data solutions.Required Qualifications & Skills8+ years of experience in Data Engineering or a closely related field.Strong hands-on experience with Data Modeling, including logical and physical data models.Strong SQL development and optimization skills.Hands-on Python development experience.Strong hands-on experience with PySpark/Spark, including data processing and pipeline development.Experience working with Data Warehouses and/or Data Lakes.Strong understanding of data engineering concepts, data processing, and scalable data solutions.Ability to collaborate effectively with technical and business stakeholders.Preferred QualificationsExperience with Generative AI (GenAI) or Machine Learning initiatives.Exposure to or hands-on experience with Google ADK.Experience with cloud platforms such as GCP, AWS, or Azure.Experience with ETL/ELT frameworks and modern data engineering technologies.Previous experience in the Banking or Financial Services industry is highly preferred.