> Markdown version of [/jobs/ext/3777244-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3777244-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** International Solutions Group - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Java (Programming Language), Amazon Web Services, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Apache Hadoop, Python (Programming Language), SQL Databases, Apache Spark, Spring-boot, Pandas, Pyspark, Kubernetes, Information Technology, Data Lineage, Data Pipelines, Docker - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/e15e74d8-4039-43e5-b6c9-363cfb19b1a8 ## About the Role * Advanced proficiency in Python (Pandas, PySpark) and Java (Spring Boot) * Mastery of Apache Spark and the Hadoop ecosystem * Deep knowledge of Docker, Kubernetes, and Amazon EKS * Experience with SQL, time-series databases, and relational platforms * Experience with enterprise security frameworks Preferred Skills * 5+ years of data engineering experience in investment banking or fintech * Knowledge of financial instruments and market data structures * Bachelor's or Master's degree in Computer Science or related field ## Description International Solutions Group (ISG) is looking for a Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for architecting and optimizing our mission-critical financial data platforms. You will work on building high-throughput pipelines for quantitative analysis, regulatory reporting, and risk management., * Build and maintain high-performance ETL/ELT pipelines using Python and Java * Optimize and maintain data frameworks using Hadoop and Apache Spark * Deploy and scale containerized financial data applications in Amazon EKS * Securely manage data continuity between On-Premises systems and AWS environments * Implement data governance and end-to-end data lineage tracking * Troubleshoot and optimize distributed processing jobs