Overview
Skills
Job Details
New York City, NY
Dallas, TX
Salt Lake City, UT
8+ years of experience in data engineering, with a focus on large-scale and high-throughput systems
Deep experience working with time series data and purpose-built storage systems (e.g., KDB+, TimeSet, Kronos)
Strong experience building streaming and batch data pipelines using tools like Glue, Kafka, Flink, or Spark
Proficiency in Python and integrating data pipelines with machine learning workflows and libraries (e.g., pandas, NumPy, scikit-learn, PyTorch)
Experience designing efficient, scalable data models and partitioning strategies for time series data
Knowledge of distributed systems, columnar databases, and parallel processing
Familiarity with cloud-native data architectures (AWS, Google Cloud Platform, or Azure) and containerized data infrastructure
Strong understanding of data quality, lineage, monitoring, and observability tools
Excellent communication skills and a proactive, consultative mindset in client-facing environments
Bonus: Experience with multiple time series systems (e.g., KDB+ and Kronos) or contributing to open-source data infrastructure projects