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Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
Build and maintain data pipelines, AI models, and transformations using GCP, Dataiku, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Design and build scalable data pipelines for customer data on an AI-driven platform using AWS, Snowflake, Dagster/Airflow, and DBT.
Designs and maintains scalable data pipelines and Snowflake-based warehouses, optimizing ETL/ELT processes with Python, SQL, and orchestration tools like dbt or Airflow.
Principal Data Engineer designs and maintains scalable, self-hosted data pipelines and databases for a game studio, ensuring robust performance and compliance.
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Build and scale data pipelines in Snowflake using dbt, Dagster, and Python to deliver clean, reliable business insights for a fintech company.
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Build and maintain scalable ETL/ELT pipelines and data warehouses to track USDC movement across blockchains, enabling analytics on holdings, use cases, and growth opportunities.
Principal Data Engineer designs and maintains self-hosted data infrastructure, optimizes PostgreSQL/MongoDB systems, and builds scalable ETL pipelines for a game developer.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands like NFL and Lululemon.
Build and maintain a privacy-focused data platform in Snowflake using dbt and Dagster, enabling accurate KPI tracking and analytics for a digital banking business.
Build and scale a supply-chain transparency platform using Python/Spring Boot, AWS, and blockchain; focus on secure, scalable APIs and data pipelines for sustainability tracking.
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