Data Engineering, Analyst

About this role

Data is at the heart of Aladdin and increasingly the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. The DataOps Engineering (DOE) team is responsible for the data ecosystem within BlackRock. The Market Data team within DOE builds and maintains leading-edge data platforms that provides highly available, consistent market data of the highest quality for all users of the platform - notably investors, operations teams, and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.

Data Pipeline Engineers at BlackRock get to experience working at one of the most recognized financial companies in the world while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation, and distribution systems. Engineers looking to work in the areas of data acquisition, ETL Workflow orchestration, data modeling, data pipeline engineering, Rest APIs, relational databases, and data distribution are ideal candidates.

Responsibilities

Data Pipeline Engineers are expected to be involved from inception of projects, understand requirements, architect, develop, deploy, and maintain data pipelines on our modern data platform while constantly working towards improving platform performance and scalability.

Deployment and maintenance require close interaction with various teams within the Aladdin developer community. Creative and inventive problem-solving skills for reduced turnaround times are highly valued.

• Design and build scalable data pipelines in the market data space to process large datasets efficiently
• Develop and maintain ETL processes to integrate data from multiple sources into centralized data warehouses
• Monitor and maintain data systems, ensuring data accuracy, consistency, and reliability.
• Work alongside program managers, product teams and business analysts throughout the SDLC cycle
• Provide L2 or L3 support for technical and/or operational issues encountered
• Conduct end-to-end UAT tests to ensure production operations run successfully
• Prepare user documentation to maintain both development and operations continuity

Essential Skills

• Bachelor's degree in computer science, Information Technology, or related field.
• At least 1+ years’ experience as a software engineer
• Experience in Python, Unit/Integration/Functional testing, SQL
• Experience / Familiarity with Database Modeling, Normalization techniques
• Experience / Familiarity with object-oriented design patterns
• Experience with dev ops tools for CI/CD like Git, Maven, Jenkins, Gitlab CI, Azure DevOps
• Experience with Agile development concepts and related tools (e.g. ADO, Jira, etc.)
• Ability to trouble shoot and fix performance issues across the codebase and database queries
• Excellent written and verbal communication skills
• Passion for learning and implementing new technologies
• Ability to operate under fast-paced environment

Desired Skills

• Experience in Cloud Native Services (Azure/AWS)
• ETL background in any language or tools
• Experience with Snowflake or other Cloud Data warehousing products
• Exposure with Workflow management tools such as Airflow
• Data ingestion and transformation tools for ETL tools e.g. DBT, Spark, Kafka

#EarlyCareers

For Atlanta, GA Only the salary range for this position is USD$99,750.00 - USD$120,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, 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.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.