About this role
Company: BlackRock Financial Management, Inc.
Job Title: Associate, Data Engineer
Location: 725 Ponce De Leon Avenue NE Atlanta, GA 30306
Job Duties: Serve as data engineer in a project team working across the Atlanta and Gurgaon (India) offices on the data pipeline that serves client-facing websites and reports with regards to BlackRock's model portfolio business. Participate in the Agile delivery process of the team: planning, implementation, testing, release management, Cl/CD. Maintain strong collaboration
across other locations within the team globally, as well as with other teams, such as Product Managers, Data Analysts, Technical Operations, Release Managers and various business stakeholders. Design, code, test, and support reliable, robust product data pipeline software with high-quality standards through the whole Software Development Lifecycle. Identify, investigate, and resolve data discrepancies by finding the root cause of issues; work with partners across various multi-functional teams to prevent future occurrences. Proactively look for opportunities to optimize data loading process and develop innovative approaches to improve onboarding and the integrity of data. Stay abreast of new data technologies, drive technical research and Proof of Concept activities when needed. Provide basic reporting and respond to inquiries asking for insights about the data sets from senior partners, in a timely fashion.
Qualifications: Bachelor's degree in Computer and Information Science, or related field and 24 months of experience in job offered, or closely related role. Design, code, testing and support of data pipeline software; Agile delivery process; Data technologies in enterprise systems; Relational SOL; Big data frameworks for distributed storage and processing of large datasets;
Big data analytics platforms for scalable batch & stream processing; Azure Cosmos DB, AWS DynamoDB, Google Firestore, flexible JSON document data store, or NoSQL datastore; Hands-on development of enterprise backend applications and data pipelines in Java or Python; Data platforms and tools including Databricks, Snowflake, and Azure Data Factory; Technical Research and Proof of Concept activities; Articulate technical concepts both written and orally to internal stakeholders; ETFs; and Product Launches.
Salary: $130,000 - 148,000
To apply, please click "Apply" on this webpage.
For Atlanta, GA Only the salary range for this position is USD$0.00 - USD$0.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
