Data Engineer, Associate - Cloud & Platform Engineering at Blackstone

New York, New York, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset ManagementIndustries

Requirements

Candidates should have 3+ years of experience in data engineering with a strong understanding of modern data engineering principles and methodologies. Proven experience in Snowflake administration, including query tuning, cost optimization, RBAC, and disaster recovery, is required. Advanced Python skills for building and managing data pipelines, experience with Git for version control and collaborative development workflows, and hands-on experience with AWS services like S3, Glue, Lambda, PrivateLink, and VPC are essential. Familiarity with networking protocols such as TCP/IP, DNS, TLS, and SFTP, along with experience with DBT Core/Cloud for data transformation and modeling, and proficiency in workflow management tools like Prefect and Airflow are necessary. The ability to clearly articulate technical concepts in both written and spoken communication and clarify ambiguous requirements from non-technical stakeholders is crucial. Experience with lakehouse architectures, financial data, or private equity is a plus. Willingness to participate in an on-call rotation and experience using Jira for task management in Agile or Scrum environments are also required.

Responsibilities

The Data Engineer will design, implement, and maintain Python-based data pipelines using tools like Prefect and Airflow. They will manage Snowflake environments, focusing on cost optimization, RBAC design, and performance tuning. Responsibilities include implementing robust data quality frameworks to ensure data accuracy, consistency, and reliability, and leveraging AWS services to build secure and scalable data solutions. The role involves developing and maintaining DBT models for data transformation and analytics workflows, and utilizing Git-based SDLC practices for code repository management. The Data Engineer will work closely with cross-functional teams to translate business requirements into technical solutions and communicate complex technical concepts to stakeholders.

Skills

Data Engineering

Data Pipelines

Cloud Data Platforms

Scalable Data Solutions

Cost Optimization

Data Security

Data Quality

Blackstone

Global alternative asset management firm

About Blackstone

Blackstone is a leader in alternative asset management, focusing on private equity, real estate, and credit investments. The firm manages over $1.1 trillion in assets and partners with financial advisors to provide access to private markets, aiming to create strong businesses that deliver lasting value. Its main products, BREIT and BCRED, cater to income-focused investors, while the On-Demand Continuing Education Program helps educate investors on private market topics. Blackstone's goal is to identify economic trends and invest in industry-leading businesses to generate strong returns.

New York City, New YorkHeadquarters

1985Year Founded

$18,081.8MTotal Funding

UNKNOWNCompany Stage

Financial Services, Real Estate, EducationIndustries

5,001-10,000Employees

Risks

Increased competition in AI may lead to overvaluation and market saturation.

Potential regulatory scrutiny due to significant investments in diverse sectors.

Economic instability in Europe could impact returns from European investments.

Differentiation

Blackstone is a global leader in alternative asset management with $1.1 trillion AUM.

The firm specializes in private equity, real estate, and credit investments.

Blackstone partners with financial advisors to provide access to private markets.

Upsides

Blackstone's $300M investment in DDN shows a strategic pivot towards AI-driven growth sectors.

The €250M investment in Sia Partners expands Blackstone's footprint in AI consulting services.

Partnership with Jersey Mike’s indicates investment in established consumer brands with growth potential.

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