Data Engineer

Job Description Job Title: Data Engineer Duration: 12 months contract with high possibility of extension Location: New York City, NY 10003 (Onsite) Duties: Design, build, and optimize scalable ELT/ETL pipelines ingesting banking and treasury data from Kyriba into Snowflake and Databricks. Develop and own canonical data models and schemas for cash positions, bank transactions, intercompany settlements, and reconciliation outputs Architect data warehousing solutions ensuring seamless integration

Data Architect Databricks/AWSLocation: New York, NY Onsite Rate: $100 per hour W2 Duration: 12+ months W2 only No C2C or third-party agencies Must Have SkillsDatabricks and Unity Catalog AWS cloud data architecture PySpark, Python, Spark and SQL ETL/ELT pipelines Data modeling and governance GitLab CI/CD and Infrastructure as Code Tableau and BI architecture Position SummaryWe are seeking an experienced Data Architect to design scalable enterprise data solutions using Databricks and AWS. This

Role- Data Engineer Location- New York Job Description We are seeking an experienced Data Engineerto join our team and build robust, scalable data pipelines. In this role, you will: Design and implement scalable PySpark data pipelines for batch and streaming workloads Optimize Spark jobs and queries for performance and cost efficiency Build and maintain ETL/ELT processes following data engineering best practices Troubleshoot and resolve complex data pipeline and processing issues Collaborate wi

Position: Azure Senior Data Lead Location: NYC (Hybrid) Duration: 12+ Months Contract on W2 Active LinkedIn is required. Prior experience in the banking/financial services domain, particularly with large financial institutions. Must haves Python, Azure Databricks, Azure Data Factory (ADF), MS SQL, Oracle PL/SQL. Azure Senior Data Lead Leads modernization of Python applications into scalable PySpark solutions on Azure Databricks Role Purpose Lead the modernization and migration of existing Pytho