Data Engineer, Aladdin Regulatory Technology, Associate

About this role Aladdin Engineering is seeking a talented, hands-on Data Engineer to join its Regulatory Tech team. The Regulatory Tech team provides a comprehensive surveillance solution for Compliance that helps the firm protect itself against market manipulation, fraud and other financial related misconducts. Our product is widely used in the firm and is going through a series of feature buildouts so that it can be offered to external clients. We are facing a lot of potential and exciting times ahead. As a team, we nurture and develop a culture that is: Curious: We like to learn new things and have a healthy disrespect for the status quo Brave: We are willing to get outside your comfort zone Passionate: We feel personal ownership of your work, and strive to be better Open: We value and respect other's opinions Innovative: We conceptualize, design and implement new capabilities to ensure that Aladdin remains the best platform. We are seeking an ambitious professional having strong technical experience in data engineering. You have a solid understanding of the software development lifecycle and enjoy working in a team of engineers. The ideal candidate shows aptitude to evaluate and incorporate new technologies. You thrive in a work environment that requires creative problem-solving skills, independent self-direction, open communication and attention to details. You are a self-starter, comfortable with ambiguity and working in a fast-paced, ever-changing environment. You are passionate about bringing value to clients. As member of the Regulatory Tech team, you will: Work with engineers, project managers, technical leads, business owners and analysts throughout the whole SDLC Design and implement new features in our core product’s data platform and suspicious activity identifying mechanism Be brave enough to come up with ideas to improve resiliency, stability and performance of our platform Participate in setting coding standards and guidelines, identify and document standard methodologies Desired Skills and Experience: Hands-on experience with Python and SQL Experience with Snowflake database Experience with Airflow Thorough knowledge of GIT, CI/CD and unit/end-to-end testing Interest in data engineering Solid written and verbal communication skills Nice to have: Experience with DBT , Great Expectations frameworks Experience with Big Data technologies (Spark, Sqoop, HDFS, YARN) Experience with Agile development Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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. 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. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.