Senior Data Engineer – Finance & Capital Markets

🚀 We’re Hiring: Senior Data Engineer – Finance & Capital Markets 🌎 Location: Remote (U.S. candidates only) 🏦 Industry: Financial Services | Capital Markets 🧠 Experience: 6–10 years in Data Engineering (3+ years in Finance & Capital Markets) We’re looking for a Senior Data Engineer who thrives in high-performance environments and has deep experience building data platforms for trading, risk, and market analytics. In this role, you’ll design scalable, real-time, and batch data pipelines using the latest cloud and big data technologies—all on AWS—to drive mission-critical financial applications. 🛠️ What You’ll Do: • Build and optimize large-scale data pipelines using Apache Spark, Kafka, and AWS services • Implement Medallion Architecture (Bronze/Silver/Gold layers) for structured data processing • Work with Parquet and Iceberg table formats to support schema evolution and performance • Design and support real-time streaming pipelines for market/trading and time-series data • Collaborate with data architects on lakehouse and data warehouse architecture • Ensure data quality, governance, and compliance with financial regulations • Mentor junior engineers and contribute to best practices ✅ What You Bring: • Hands-on experience with AWS services: S3, Glue, Redshift, EMR, Kinesis, Lake Formation • Proficiency in Apache Spark, Kafka, and Python • Deep understanding of Parquet, Iceberg, and Medallion Architecture • Strong grasp of financial data models – trading data, risk analytics, market data • 6–10 years of experience in Data Engineering, including 3+ years in Finance & Capital Markets ✨ Bonus Skills: • Exposure to Databricks, DBT, Delta Lake, or Snowflake • Experience with CI/CD for data workflows and data observability frameworks 💼 Why Join Us? • Build high-impact data platforms powering real-time trading and risk systems • Collaborate with top-tier financial and technology professionals • 100% Remote – U.S. candidates only