Associate

BlackRock • Seattle, WA

7h • Hybrid

About The Position

Design, implement, review and support reliable, robust, scalable software. Work closely with BlackRock investment teams to understand needs and identify opportunities for automation or new analytics services. Implementing eFront for BAI investment teams and working with colleagues to continually enhance functionality by designing and implementing future technology roadmaps for the eFront product suite and BAI franchise. Leverage artificial intelligence technologies, including natural language processing and machine learning, to turn unstructured data into meaningful insights.

Requirements

• Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field, and 36 months of experience in job offered, or as a Software Engineer, Data Engineer, or related field.
• 3 years of experience required in the following: Server-side Java Development, including Spring Boot, service-oriented architecture, message queue systems, multi-threading, unit test coverage.
• Data Modeling and management to include Relational and Nonrelational databases, SQL queries, stored procedure development.
• Agile methodology, Git, CI/CD pipelines, DevOps.
• ETL and Automation using ETL frameworks, Python scripting for data cleansing analysis, and automation.
• Front-end Web Development using JavaScript, HTML/CSS, React, Angular.
• Platforms including Cloud development, and AI/ML pipelines.

Responsibilities

• Design, implement, review and support reliable, robust, scalable software.
• Work closely with BlackRock investment teams to understand needs and identify opportunities for automation or new analytics services.
• Implementing eFront for BAI investment teams and working with colleagues to continually enhance functionality by designing and implementing future technology roadmaps for the eFront product suite and BAI franchise.
• Leverage artificial intelligence technologies, including natural language processing and machine learning, to turn unstructured data into meaningful insights.

Benefits

• employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
• strong retirement plan
• tuition reimbursement
• comprehensive healthcare
• support for working parents
• Flexible Time Off (FTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level