At BlackRock SMA Solutions, our strategies are designed to put our clients' and their clients' interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client's unique values-aligned preferences into their investment portfolio. We are a purposefully growing quantitative, multi-asset investment management business specializing in managing customized portfolios tax efficiently. We are looking for data engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. We are committed to open source and we regularly give our work back to the community. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates.
We are expanding the team of engineers that owns and operates our extensive data platform underpinning the SMA business. As a member of this team, you will build, enhance, and support a wide variety of data-centric applications and tools to generate or consume data feeds from diverse systems; generate reporting artifacts at scale; and expand the data estate in support of our users. You will work with your team and your stakeholders to ensure data arrives in a complete and timely manner, with validated quality.
+ BA/BS in Computer Science or equivalent practical experience
At least 5+ years of experience as a full-stack engineer, preferably in a financial services or trading environment
Solid knowledge of programming fundamentalsalgorithms, data structures, design patterns, and paradigms
Strong knowledge of one or more modern object-oriented languages (Python, Java, Go, etc.)
Solid knowledge SQL and relationship databases (SQL Server, PostgreSQL, Sybase, etc.)
Ability to troubleshoot problems in a live environment and provide real time help with critical issues
Write code that is easily understood and maintainable by other team members
Keep up to date with developments in technologies we are using
Ability to communicate and work effectively, supporting various business departments
Ability to work in fast-paced interdisciplinary environment
Desired additional qualifications:
Knowledge of API design approaches (RESTful, GraphQL, gRPC)
Knowledge of Extract-Transform-Load (ETL) and other data pipeline technologies (Spark, Hadoop, etc.)
Experience working in a cloud environment (AWS, Azure, GCP)
Familiarity with Pandas, Polars or similar data frameworks
Familiarity with other structured storage or NoSQL solutions (Cassandra, DynamoDB, etc.)
Familiarity with Snowflake or other large analytics engines (Redshift, Big Query, Azure Synapse)
Experience with data warehousing and working in environments with large scale, complex analytics requirements.
Familiarity with job scheduling tools like Airflow, Cron etc.
Familiarity with Docker/Kubernetes containerization infrastructure.
Background in statistical and/or financial analysis
Only the salary range for this position is USD$132,000.00 - USD$162,000.00. 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.
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.
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.
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.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
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