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Build and maintain data pipelines in BigQuery and SQLMesh to power creator payouts, revenue reporting, and product analytics for a music-creation platform.
Design and build scalable cloud data platforms on AWS, Azure, and GCP using Snowflake, Databricks, and streaming tools to deliver real-time analytics and automated decision-making for enterprise clients.
Build and own Ziina’s data pipelines, warehouse, and analytics stack from scratch using Snowflake, Dagster, dbt, and Python to power decision-making and future ML/AI at a fast-growing fintech.
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
Build and maintain data pipelines, automate integrations, and help scale a cloud data warehouse for a grid-scale energy storage company using Python, SQL, and cloud services.
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Senior Data Engineer builds and refactors scalable data pipelines in Python, FastAPI, and PostgreSQL/Oracle, deploys them on Kubernetes with Helm, and ensures high-quality, reusable data products for government use.
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
Build and maintain scalable ETL pipelines and data models in Python/SQL, ensuring high-quality data for analytics and machine-learning use cases in ad-tech and travel marketing.
Design and build scalable data pipelines and warehouses on AWS using Python, SQL, and cloud-native tools to power analytics and ML at a data-driven product company.
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
Principal Data Engineer designs and optimizes secure, scalable data pipelines (ETL/ELT) and warehouses for real-time/batch processing, ensuring data quality and compliance in a biotech environment.
About PocketHealth Burnout, staffing shortages, chronic underfunding — healthcare is under more strain than it has ever been. A disproportionate share of available resources never reach patients; they're consumed…
Build and govern a reliable dbt analytics layer for a fintech investor, transforming raw data into clean, actionable metrics and models for business decisions.
Build and maintain data pipelines and analytics for renewable energy supply and revenue optimization using Python, SQL, DBT, and Flyte.
Embed within clients to architect and ship production-grade Python/SQL solutions that integrate Sayari’s AI-driven risk platform into their environments and workflows.
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