Equities Data Platform Lead

Balyasny Asset Management L.P.; Chicago (IL); In loco; USD 130.000 - 190.000; Tempo pieno

Descrizione del lavoro

Balyasny Asset Management L.P. is seeking a data engineer to design and scale the Equities Alternative Data platform. You will own ingestion, normalization, and backfills for diverse datasets, building robust ETL/ELT pipelines and embedding quality controls across the data stack.

You will collaborate with portfolio managers, quantitative researchers, and analysts to convert investment use cases into scalable technical solutions, delivering researcher-friendly data access APIs and curated tables.

Competenze

• 5+ years in a data-intensive engineering role, building and operating data pipelines, platforms, or data products.
• Strong SQL skills with time-series/analytical data stores.
• Proficient in Python and/or Rust/C++, plus data-manipulation libraries (Pandas, Polars, PySpark, Dask).
• Experience designing scalable ETL/ELT pipelines (batch and near-real-time).
• Familiarity with Parquet/Arrow storage formats.
• Good debugging/production problem-solving skills.
• Exposure to distributed data components (Kafka, Redis, orchestration tools).
• Ability to work with tech and non-tech stakeholders on trade-offs.
• Ownership mindset with focus on data quality.

Mansioni

• Design, build, and scale the data platform and pipelines for alternate-data research and production use cases.
• Own dataset onboarding, including ingestion, schema design, normalization, and backfills.
• Develop scalable ETL/ELT pipelines for diverse datasets (structured, semi-structured, unstructured).
• Leverage in-house data-quality framework to monitor timeliness, completeness, accuracy, continuity.
• Collaborate with portfolio managers, analysts, and researchers to translate use cases into technical solutions.
• Create researcher-friendly data access patterns: APIs, curated tables, data extracts, integrations with research tools.
• Collaborate with external data vendors and internal partners to improve reliability.
• Contribute to dataset documentation, governance, entitlement controls, and auditability.
• Balance feasibility, stability, scalability, data quality, and time-to-market in a fast-paced environment.
• Participate in a global engineering team, including code reviews and platform improvements.

Conoscenze

SQL + time-series DBs

Python, Rust or C++

Pandas/Polars/PySpark

ETL/ELT pipelines

Parquet/Arrow

Debugging in prod

Kafka/Redis

Stakeholder comms

Data quality ownership

Strumenti

Kafka

Redis

Airflow

Dagster

dbt

Prometheus/Grafana

Descrizione del lavoro

Balyasny Asset Management L.P. is seeking a data engineer to design and scale the Equities Alternative Data platform. You will own ingestion, normalization, and backfills for diverse datasets, building robust ETL/ELT pipelines and embedding quality controls across the data stack.

You will collaborate with portfolio managers, quantitative researchers, and analysts to convert investment use cases into scalable technical solutions, delivering researcher-friendly data access APIs and curated tables.