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Senior/Staff Data Engineer at OKX, a crypto exchange, responsible for designing analytics-ready data marts, building batch and real-time data pipelines, and collaborating with analytics teams using technologies like Spark, Flink, and SQL.
Build and operate OKX’s core data platform, writing Java/Python services and pipelines, scaling storage backends like Iceberg/ClickHouse, and using AI tooling to ensure data quality and reliability.
Senior role building scalable data pipelines, semantic layers, and automated quality controls to turn raw data into trusted analytics products using Python, SQL, and distributed systems.
Design and scale cloud-based data pipelines on Databricks and Snowflake, building medallion-architecture datasets for analytics and AI/ML that power Illumina’s genomics and healthcare products.
Designs and builds a scalable, high-performance end-to-end data platform while mentoring junior engineers and driving product-focused data solutions using PySpark, SQL, Kafka, and AWS technologies.
Staff Data Engineer builds and maintains real-time pricing pipelines for a collectibles marketplace, ingesting and normalizing fragmented external market data into reliable warehouse tables for pricing models and ML.
Design and build AI agent governance and identity governance systems, scalable data pipelines, and monitoring for authentication, authorization, and compliance.
Design and scale Coupang’s petabyte-scale data infrastructure, build real-time ETL/ELT pipelines, and enforce data quality and SLA governance across the organization.
Designs and maintains data infrastructure for R&D hardware systems, integrating experimental, manufacturing, and QC data with analysis and visualization tools using SQL, Python, and DAQ platforms.
Staff Data Engineer will design and build data pipelines and a central data warehouse for Teleport's internal data platform, working with SQL, Python/Go, and cloud data warehouses like Snowflake/BigQuery/Redshift.
Lead the architecture of Beamery’s data platform, defining long-term strategy for analytics, AI, and trustworthy data products that power workforce decisions and skills intelligence.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems, collaborating with cross-functional teams to deliver high-impact infrastructure for the forefront of AI.
Build and maintain scalable data pipelines and infrastructure to support real-time payment systems and financial transaction analytics.
Lead data engineering and AI-driven process mining to optimize semiconductor labor workflows, build dashboards, and drive measurable productivity gains across global sites.
Build and maintain real-time and batch data pipelines using Flink, Iceberg, and Spark to power Kpler’s commodities, energy, and maritime intelligence platform.
Lead data infrastructure and analytics engineering at a fast-growing ecommerce marketplace, designing scalable pipelines, warehousing, and governance to power data-driven decisions across teams.
Build and maintain the data infrastructure for Lydian’s R&D team, integrating experimental, manufacturing, and QC data to enable faster analysis and insights for fuel-production systems.
Staff Data Engineer builds and owns the data platform backbone for governed reporting and AI-native analytics at a fintech lender, using Snowflake, Python, SQL, and modern ingestion tools.
Lead the modernization of Fora Financial’s data stack, designing and building scalable pipelines, governance frameworks, and AI-ready data products to support analytics and agentic workflows.
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