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Build and own the data infrastructure for a B2B fintech platform that transforms raw financial data into actionable insights for accounts receivable automation, using Python, SQL, and modern cloud data tools.
Build and own data pipelines that unify Oura’s membership data into a single source of truth, integrating subscription billing, CRM, and app engagement systems using modern stack tools.
Designs and models scalable, interoperable data products for Oura’s health-focused platform using cloud data warehouses (Snowflake, BigQuery) and Data Mesh principles.
Who will you be working with? The Propulsion Systems Engineering team is responsible for the development and integration of thermal management solutions that support diesel-electric, battery-electric, hybrid…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is a global company that connects people to…
Builds and maintains Lyft's ride-time prediction system using ML models and distributed tools, ensuring low-latency, high-reliability ETAs for millions of daily rides.
Builds and maintains systems to protect user data privacy at Lyft, including data redaction pipelines and compliance tools, using languages like Python/Java/Go and distributed systems.
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, SQL, and AWS.
Build and scale Lyft’s routing engine and cloud services that process millions of route requests daily using C++, Go, Python, AWS, Kafka, and Flink.
Build and maintain sales analytics tools and dashboards for Lyft’s B2B team, translating data into actionable insights to drive revenue across mobility verticals.
This Senior Data Engineer role focuses on building and maintaining scalable data pipelines, offline experimentation tooling, and route simulation services for Lyft's mapping team. The position utilizes technologies such as AWS, Databricks, Kubernetes, and Airflow to improve routing accuracy and travel time estimations.
Senior Data Engineer focused on data quality at Fulcrum Digital: validating and building large-scale data pipelines, performing source-to-target reconciliation, and ensuring reliability of Lakehouse platforms. Core stack is Databricks, PySpark, Hadoop/Hive, advanced SQL, and cloud platforms (Azure, AWS, or GCP).
SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and…
Senior Data Engineer builds and scales Human Interest’s data pipelines and warehouse (Snowflake, Airflow, dbt) to power reliable reporting and AI-ready analytics for a fintech retirement platform.
Build and maintain enterprise data systems and AI-driven workflows in Python/SQL, ensuring data quality and enabling agentic applications for a data-center and AI infrastructure company.
Staff Data Engineer owning and building the central data platform for Enpal's smart metering unit (Metrify), designing scalable pipelines end to end using dbt, Snowflake, Airflow, and Azure infrastructure.
Lead a team to design, build, and scale data pipelines and analytics models for Enpal’s smart energy platform using SQL, dbt, Python, and cloud tools.
The Opportunity As a Forward Deployed Data Engineer (FDE) on our US Launch Team, you will act as the principal technical anchor embedded directly within high-stakes enterprise client accounts (focusing heavily on…
Senior Data Engineer builds and scales data pipelines and lakehouse architectures using Databricks, Snowflake, and AWS, while integrating GenAI models into production workflows.
Build AI-powered workflow automations (e.g., n8n) to connect systems and standardize processes across oncology care teams.
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