Senior Equities Data Platform Engineer

Balyasny Asset Management L.P.; New York (NY); In loco; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Balyasny Asset Management L.P. in New York seeks an experienced data engineer for the Equities Alternative Data team.

Design and scale data infrastructure supporting alternative-data research, onboarding vendors, ingestion, normalization, and researcher-facing delivery to support quant research and portfolio workflows. You will build scalable ETL/ELT pipelines for structured, semi-structured, and unstructured sources, enforce data quality, and collaborate with portfolio managers, analysts, and

Competenze

• 5+ years of data-intensive engineering experience.
• Experience with SQL databases, time-series data stores, and analytical datasets.
• Strong programming skills in Python and/or Rust/C++, plus data-manipulation libraries such as Pandas/Polars/PySpark/Dask.
• Experience designing scalable ETL/ELT pipelines (batch and streaming).
• Familiarity with columnar storage (Parquet, Arrow).
• Strong debugging and performance-tuning skills for large-scale data processing.
• Experience with distributed systems components (Kafka, Redis, orchestration tools).
• Ability to communicate trade-offs clearly with technical and non-technical stakeholders.
• Ownership mindset and focus on data quality in iterative environments.

Mansioni

• Design, build, and grow the data platform and pipelines that support alternative-data research and production use cases for Equities L/S teams.
• Own end-to-end dataset onboarding, including ingestion, schema design, normalization, historical backfills, metadata, lineage, and access patterns.
• Build scalable, reliable ETL/ELT workflows for diverse datasets (structured, semi-structured, unstructured).
• Leverage BAM’s data-quality framework to monitor data timeliness, completeness, accuracy, and continuity.
• Collaborate with portfolio managers, analysts, researchers, and stakeholders to translate use cases into technical solutions.
• Design researcher-friendly data access via APIs, curated tables, and data extracts.
• Collaborate with external vendors and internal partners to evaluate feeds and improve reliability.
• Contribute to dataset documentation, governance, entitlement controls, and auditability.
• Balance feasibility, stability, data quality, and time-to-market in a fast-paced environment.
• Participate in a global engineering team through code reviews and platform improvements.

Conoscenze

SQL & time-series DB

Python

Rust/C++

Pandas/Polars

PySpark/Dask

ETL/ELT pipelines

Data quality framework

API development

Kafka/Redis

Strumenti

ClickHouse

Snowflake

Databricks

Trino

DuckDB

Descrizione del lavoro

Balyasny Asset Management L.P. in New York seeks an experienced data engineer for the Equities Alternative Data team.

Design and scale data infrastructure supporting alternative-data research, onboarding vendors, ingestion, normalization, and researcher-facing delivery to support quant research and portfolio workflows. You will build scalable ETL/ELT pipelines for structured, semi-structured, and unstructured sources, enforce data quality, and collaborate with portfolio managers, analysts, and