A financial firm is looking for a Java Software Engineer to join their team in Jersey City, NJ. 

Compensation: $155K
No C2C - this is a full time position. Need 5 years work experience in the US on a full time basis. 

Responsibilities: Design and develop next-generation equity and credit analytics platforms Work with business partners and analysts to understand data requirements and analyze and design the necessary data pipeline and database design Design, implement and maintain data pipelines that can efficiently and reliably ingest and store data from a variety of internal and external sources Develop robust quality control processing, monitoring, and workflow dashboards Integrate risk and quantitative models Simplify and automate existing manual data processes Provide support for overnight batch jobs Lead a team of developers Participate in strategic discussions Work with a team of frontend and backend engineers, product managers, and analystsQualifications: A Bachelor's or master's degree in Computer Science, Engineering, Physics, Math, or related work experience 6 years of expertise in application design, coding, testing, maintenance, and debugging Strong proficiency in Java, Python, REST, Microservices, Spring Boot, and API gateway 6 years of experience programming in SQL queries, stored procedures, query optimization performance tuning (Microsoft SQL Server, PostgreSQL or Oracle) Experience with various cloud technologies, including AWS, Azure, GCP, Snowflake, Spark, and their associated tools Experience creating and maintaining Conceptual, Logical, and Physical data models Ability to identify opportunities to reuse data and reduce redundancy across the enterprise Experience with Git/GitHub Experience with DevOps tools like Jira, Confluence, and CI/CD pipelines (Jenkins) Skills: 
Required Strong analytical skills Willing to take full ownership of projects, covering discovery, analysis, technical design and implementation, testing, and deployment tasks Good communication skills and be comfortable working closely with senior quantitative analysts, risk analysts and business partners Strong desire to document and share work done to aid in long term support Self-starter, a dependable partner, and team player Preferred Experience with market data vendors - Bloomberg, Markit, ICE/Client, S&P, Moodys, Fitch, Russell, Intex, JPM, Factset, State Street, CRD, and Yieldbook Experience working on distributed system and handling & processing of large-scale data (trades, risk, market data etc) Experience working in the finance industry Knowledge of fixed income analytics for asset types such as Corporate bonds, Treasuries, Derivatives, Sovereigns, Bank Loans, MBS, ABS, and CLO 24-03178 #LI-KS1