Job Description

Salary: $162,000 - 215,000 per year Requirements:

• We require a B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
• We are looking for 8+ years of experience building production data systems, with hands-on ownership of data modeling and pipeline engineering.
• Strong SQL capability is essential, including advanced querying, execution plan analysis, and performance tuning.
• We expect experience with Snowflake and/or Microsoft SQL Server.
• We need proven expertise in analytics data modeling, including dimensional modeling, star schemas, conformed dimensions, and slowly changing dimensions.
• You should have practical experience designing and implementing ELT/ETL pipelines for both batch and near-real-time processing.
• Proficiency in at least one general-purpose programming language used in data engineering, such as Python, Java, or Scala, is required.
• We value working knowledge of modern data engineering practices, including transformation testing, CI/CD, environment promotion, and operational monitoring.
• Strong communication skills are important, along with the ability to collaborate with domain experts and turn ambiguity into implementable data products.
• Nice-to-have experience includes dbt or similar modeling frameworks, orchestration tools such as Dagster or Prefect, streaming and event-driven data patterns, Elasticsearch or Cosmos DB integrations, data governance and observability tooling, cloud-native platforms, Terraform, and interest in financial systems, accounting, or investment technology.

• We partner with domain experts, product teams, and engineering colleagues to design canonical data models that support trusted reporting, analytics, and downstream integrations.
• We build and refine analytics-ready datasets in Snowflake, including curated layers and data marts with clear metric definitions.
• We design and develop dependable ELT and ETL pipelines across Snowflake and SQL Server for scheduled batch loads and low-latency ingestion where needed.
• We implement resilient pipeline patterns, including incremental processing, idempotent replay-safe loads, deduplication, and backfill or reprocessing approaches.
• We establish and uphold data quality and observability controls such as freshness, completeness, and accuracy checks, along with alerting, runbooks, and SLAs.
• We improve analytical performance and cost efficiency through Snowflake best practices and SQL Server performance tuning where appropriate.
• We publish curated data to downstream serving systems when required, such as search indexes and operational data stores, with clear contracts and monitoring.
• We promote best practices for documentation, lineage, schema evolution, and secure handling of sensitive data in collaboration with platform and governance partners.

• CI/CD
• Cloud
• Cosmos DB
• ETL
• ElasticSearch
• Support
• Java
• Python
• Redis
• SQL
• Scala
• Snowflake
• Terraform
• dbt
• AI
• AWS
• Architect
• Azure
• GCP

More:

We are BlackRock, and we are partnering with hackajob to find exceptional professionals for this role. Technology is at the core of our business, and our Post Trade Accounting team sits within a major strategic area of Aladdin, one of our largest engineering investments. The team works in a collaborative, agile environment focused on technical depth, quality, and innovation, building systems that support accurate, scalable accounting across global operations while expanding into data analytics and pipeline initiatives using technologies such as Snowflake, Redis, and distributed event streaming and messaging platforms. We offer a wide range of benefits, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off. In New York, the salary range for this role is USD$162,000.00 to USD$215,000.00, with eligibility for an annual discretionary bonus and additional benefits. We work in a hybrid model, currently requiring at least 4 days in the office per week and allowing 1 day a week to work from home, to support collaboration, apprenticeship, and onboarding. We are committed to helping our employees thrive through a welcoming, inclusive environment, development opportunities, and a culture focused on performance and innovation.

last updated 40 week of 2026

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