Blackstone
Data Engineer, VP - Systems and Data Engineering
New York · Vp
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,994 more — $172,994 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $172,994 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 82%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Blackstone is the world's largest alternative asset manager.
- Blackstone's over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds.
- Further information is available at www.blackstone.com.
Responsibilities
- Help establish engineering standards, design patterns, and best practices across data platforms and services.
- Partner with technology and business stakeholders to translate strategic requirements into scalable and supportable solutions.
- Lead investigations into Production incidents involving the data platform.
- Support platform scalability, performance, security, resiliency, and cost optimization initiatives.
- Collaborate with various internal teams to ensure alignment with firm standards.
- Contribute to the design and evolution of enterprise data ingestion, transformation, orchestration, and delivery platforms.
- Drive adoption of engineering practices that improve reliability, maintainability, and operational efficiency.
- Drive implementation of automated data validation, monitoring, and remediation processes.
- Partner with technical and business teams to improve lineage, stewardship, consistency, and trust in critical datasets.
- Provide technical oversight of production support, operational readiness, and platform reliability in partnership with the broader team.
Requirements
- 10+ years of experience in data engineering, platform engineering, or related disciplines.
- Significant hands-on experience with Snowflake in large-scale enterprise environments.
- Deep expertise in ETL/ELT architectures, data integration technologies, orchestration frameworks, and modern data platforms.
- Experience supporting business-critical production systems operating in a 24x7 environment.
- Demonstrated experience influencing engineering organizations through technical leadership rather than direct authority.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Experience with Infrastructure as Code, CI/CD, DevOps, and platform automation practices.
- Familiarity with data governance, lineage, metadata management, and regulatory requirements within financial services.
- Experience working across globally distributed engineering organizations.
- The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.
- Required
- Strong background in data quality, observability, monitoring, and operational excellence.
- Experience contributing to major incident response efforts and helping drive operational improvements.
- Preferred
- Experience supporting analytics, reporting, AI, and machine learning platforms.
Compensation
- $160,000 - $225,000
- Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location.
- For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
- Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses.
- Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.
- This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.
Benefits
- Define and track service level objectives, operational metrics, and platform health indicators.
- Help support coverage, escalation procedures, and incident response processes in collaboration with the broader organization.
Equal opportunity
- If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Visa & Work Authorization
- nd applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expre
This listing is sourced directly from Blackstone's careers page and normalized into a canonical job model.