Remote Lead Data Engineer: Scale Data Pipelines & Teams

Bayview Asset Management; New York (NY); Remoto; USD 220.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical coverage from day one

Company-matched 401(k)

Descrizione del lavoro

Bayview Asset Management seeks a Lead Data Engineer to shape and scale our Nebula data foundation. You will lead a lean squad, stay hands-on in design and delivery, and collaborate with product, analytics, and AI teams to translate complex processes into robust data platforms.

The role requires strong architectural judgment, production-grade data engineering experience, and a track record of delivering reliable data assets across ingestion, processing, and delivery layers.

Competenze

• 5–8+ years building and operating production-grade data pipelines and platforms.
• Experience leading data engineering teams including mentorship and coaching.
• Strong architectural judgment for scalable, reliable data systems.
• Hands-on contributor with deep knowledge of ETL/ELT, orchestration, and data warehousing.

Mansioni

• Own the architecture and evolution of core data systems across ingestion, transformation, storage, modeling, and delivery.
• Lead the design, build, rollout, and operations of greenfield data infrastructure and pipelines.
• Mentor, coach, and coordinate a lean squad of data engineers for reliable delivery.
• Drive cloud platform operations, CI/CD, IaC, monitoring, and incident response.

Conoscenze

Tech leadership

Data pipelines

ETL/ELT

Cloud platforms

Strumenti

Airflow

Dagster

dbt

Snowflake

Looker

Tableau

Power BI

Descrizione del lavoro

Bayview Asset Management seeks a Lead Data Engineer to shape and scale our Nebula data foundation. You will lead a lean squad, stay hands-on in design and delivery, and collaborate with product, analytics, and AI teams to translate complex processes into robust data platforms.

The role requires strong architectural judgment, production-grade data engineering experience, and a track record of delivering reliable data assets across ingestion, processing, and delivery layers.