Sr. Data Engineer (UP)

Reference: 26255Location: Chicago, IL, United StatesIndustry: Trading FirmPosted: 2026-07-28Contact: Ethan HudsonEmail: View email address on click.appcast.io: 13176505687Senior Data Engineer - Core Data PlatformLocation: Chicago, IL or New York, NY (Hybrid)About the OpportunityAre you ready to architect high-throughput data infrastructure for a premier global quantitative trading and investment organization? We are seeking a Senior Data Engineer to lead the evolution of our central data ecosystem, transforming complex external market feeds into high-value analytical assets. In this high-impact role, you will partner directly with quantitative researchers, trading desks, and technical leaders to build resilient, scalable data solutions.ResponsibilitiesArchitect, construct, and maintain scalable data pipelines and centralized platform architecture supporting enterprise-wide analytics and quantitative trading workflows.Evaluate, ingest, and operationalize external vendor data feeds in close collaboration with domain experts and quantitative analysts.Implement robust data governance frameworks, including access control, lineage, schema management, usage tracking, and automated quality metrics.Oversee operational stability of ingestion pipelines, managing schema updates, data backfills, dead-letter queue resolution, and rotating on-call support.Build automated monitoring and validation tools to preemptively detect and resolve data anomalies across batch and streaming pipelines.Drive continuous improvement of internal tooling and self-service capabilities to accelerate data discovery and integration for end users.Requirements (Must-Have)7+ years of dedicated experience building enterprise-grade data platforms and pipeline infrastructure.Expert-level mastery of SQL along with production-grade proficiency in either Python or Java.Demonstrated expertise in modern data modeling paradigms and architecture trade-offs.Hands-on experience orchestrating complex workflows using systems such as Airflow, Dagster, Prefect, or Kubernetes/Argo Workflows.Proven experience with modern storage systems and file formats (e.g., Delta Lake, Iceberg, Parquet, S3, ClickHouse, Cassandra, or relational databases).Track record of executing non-trivial data platform migrations and managing operational recovery processes (batch reprocessing, backfills, queue monitoring).Strong communication skills and the ability to thrive in a collaborative, fast-paced trading/financial environment.Preferred Qualifications (Nice-to-Have)Familiarity with distributed compute and streaming frameworks (e.g., Flink, Spark, Polars, Dask, Kafka).Experience handling binary serialization standards such as Avro, Arrow, Protobuf/gRPC, or Thrift.Background in financial markets, market data ingestion, or high-throughput analytics platforms.Compensation & BenefitsBase Salary Range: $200,000 – $250,000 per year (commensurate with experience and skill set).Bonus: Eligible for an annual discretionary performance bonus.Benefits: Comprehensive package including medical, dental, and vision insurance; matching 401(k); short/long-term disability; life and AD&D coverage; health savings accounts (HSA); and flexible spending accounts (FSA).#LI-EH1