Data Engineer with Snowflake

Data Engineer (Python + SQL + Snowflake + AWS) We''re Hiring: Data Engineer Location: United States Onsite Employment Type: Full-Time Experience: 1-2 Years, s Job DescriptionWe are looking for a talented Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate should have expertise in Python, SQL, Snowflake, AWS, and ETL processes. ResponsibilitiesDesign and build scalable ETL/ELT pipelines.Develop and optimize data models and

Data Engineer PySpark Experiencer Location: Dallas TX Job Summary We are seeking an experienced Data Engineer with strong expertise in PySpark, ETL integration, and large-scale data migration projects. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, integrating data from multiple enterprise systems, and executing complex data migration initiatives while ensuring data quality, governance, and performance. Required Experience 10 years of

Responsibilities: Development and Maintain Data Pipelines: Design, implement, and optimize end-to-end ETL/ELT pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Utilize Python and Pyspark: Write efficient, scalable and maintainable code in Python and leverage Pyspark for large-scale data processing in distributed computing environments. Also be able to review existing code and identify areas of improvement. Ensure Data Quality and Integrity:

Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data enginee