9 часов назад
Senior Data Engineer, Unified Platform (Fintech)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer, Unified Platform (Fintech): Building and governing data products, vendor ingestion pipelines, and centralized data infrastructure for trading, research, and back-office use with an accent on data modeling, governance, reliability, and quality control. Focus on designing batch and streaming pipelines, executing cross-platform migrations, managing operational data workflows, and solving complex data quality and delivery challenges.
Location: Chicago or New York City, United States
Salary: $200,000–$250,000 annual base salary, plus an annual discretionary bonus.
Company
is a diversified trading firm using technology and proprietary capital to operate across global financial markets and non-traditional strategies.
What you will do
- Model, build, and manage data products on the Unified Data Platform.
- Onboard and manage vendor datasets for trading, quantitative research, and back-office functions.
- Design data governance processes covering dataset discovery, cost-sharing, usage tracking, access controls, and quality control.
- Monitor ingestion pipelines and data quality, and develop software and processes for reliability and quality control.
- Own vendor ingestion pipelines, coordinate changes with vendor relationship managers, perform data operations, and participate in the on-call rotation.
- Respond to user requests and identify platform gaps and self-service opportunities.
Requirements
- 7+ years of experience with modern data technologies and data-first products.
- Extensive experience designing and building batch and streaming data pipelines.
- Expertise in SQL and Java or Python, including maintainable production data transformations.
- Strong knowledge of data modeling, data storage technologies, data formats, and serialization systems.
- Experience with data processing technologies such as Flink, Spark, Polars, or Dask, and orchestration systems such as Kubernetes, Argo Workflows, Airflow, Prefect, or Dagster.
- Experience operating large data pipelines, managing migrations, monitoring throughput, handling dead-letter queues, and correcting data quality issues.
Culture & Benefits
- Autonomous, fast-paced environment with high expectations for integrity, innovation, and collaborative problem-solving.
- Work alongside traders, quantitative researchers, data strategists, analysts, and back-office personnel.
- Medical, pharmacy, dental, and vision insurance.
- 401k with a discretionary employer match, disability and life insurance, HSA, and FSA.
- Participation in an on-call rotation supporting data platform reliability.
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