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The Data Engineer will design, build, and optimize scalable ELT pipelines and data models using Snowflake, dbt, and Python. The role involves applying software engineering best practices to data development while collaborating with stakeholders to deliver impactful data products.
Build and maintain scalable data pipelines and tools (Python, SQL, BigQuery, Dagster) to power Urban Jungle’s insurance products and analytics, collaborating with cross-functional teams.
Build and scale data pipelines using Python, Docker, dbt, BigQuery, and Dagster to support analytics and MLOps workflows for a fast-growing insurtech company.
Designs and builds AI-powered features for a work-management platform, focusing on large language models and machine learning to automate tasks and surface insights.
Build and maintain scalable data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Dagster/Airflow.
Designs and maintains data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Kafka.
Builds and maintains data pipelines, models, and integrations for a gambling company’s operational and reporting systems, with a focus on reliability, scalability, and documentation while leveraging AI tools responsibly.
Builds and maintains integrations/APIs connecting Wrapbook’s production finance platform to accounting/ERP systems and AI agents, ensuring reliable data exchange and scalable architecture.
Designs and builds scalable data pipelines and infrastructure to power analytics and AI/ML at a global caller-ID app with 450M+ users, using Spark, Kafka, BigQuery, and Airflow.
Designs and implements data pipelines and storage architectures for high-load entertainment services, collaborating with product managers, analysts, and SQL developers to build scalable data solutions.
Builds and maintains a scalable data platform using Python, Dagster, and dbt to orchestrate, transform, and model data for analytics, with heavy backend infrastructure (PostgreSQL, AWS, Docker).
Build and maintain dbt pipelines, ETL/ELT processes, and data models; integrate APIs and LLM-based enrichment to improve data quality and analytics for a product-focused team.
Build and maintain ETL/ELT pipelines and Python backend services to process and deliver football analytics using PostgreSQL, ClickHouse, and cloud infrastructure.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines in Python, using AWS and DBT to process JSON/CSV/XML data for analytics and ML in a hybrid SaaS/on-premise environment.
Who Are We Bags.fm is the development company that builds and operates the entire technology stack behind , the leading launchpad for new projects and ideas. The systems are low latency, high throughput, live under…
Build and own Broccoli’s unified data layer: model raw contractor and customer data into clean, documented tables and source-of-truth views that power dashboards, benchmarks, and AI-ready analytics.
Build and maintain a modern data warehouse in Snowflake and dbt, creating trusted single-source-of-truth datasets and scalable analytics models for business teams.
Own and evolve a modern data platform (Snowflake, dbt, Dagster, AWS CDK) powering bookings, marketing attribution, and business metrics for a remote-first adventure travel scale-up.
The Analytics Engineer will manage and improve mobile marketing data pipelines and reporting systems using SQL and Python. This role involves troubleshooting production data issues and collaborating with stakeholders to build scalable data solutions for marketing attribution and measurement.
Build and scale analytical data products for investment teams at iA Global Asset Management, working end-to-end from data ingestion through visualization using Python, dbt, GCP/BigQuery, Power BI, and Streamlit.
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