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Build and optimize Snowflake-based data pipelines and warehouses using dbt, Airflow, and Python to deliver clean, reliable data for analytics and reporting.
Design and lead the architecture of AI-native applications, including agent systems, LLM infrastructure, and scalable data pipelines, while ensuring security and compliance for production-grade systems.
The Technical Program Manager 3 – BI & Analytics is a master-level professional role responsible for the end-to-end success of Business Intelligence and Analytics programs. This position partners with product…
Build scalable backend services and developer tools for Apple’s data pipelines, integrating big data tech like Spark and Kafka to improve analytics observability and efficiency at massive scale.
Design and maintain scalable data pipelines using SparkSQL and PySpark to transform IoT device and product data into analytics-ready tables for dashboards, ML training, and causal inference at a cloud platform for physical operations.
Build and maintain a scalable, self-serve compute platform for Affirm’s batch workloads using Python/Kotlin, AWS, Kubernetes, and workflow orchestration tools like Airflow.
Designs and automates data pipelines to standardize financial data, builds AI agents to accelerate development, and partners with teams to modernize data architecture.
About Xanadu: Xanadu’s mission is to build quantum computers that are useful and available to people everywhere. At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating…
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.
Principal Data Engineer building and shaping national-scale data platforms for genomics research and healthcare, using Python, SQL, and cloud infrastructure to ensure secure, compliant data pipelines.
Position Overview: We are building our enterprise data platform from the ground up, and we are looking for a Senior Data Platform Engineer to partner directly with our Data Architect to turn a greenfield vision into an…
Lead the design and build of SimplePractice’s data infrastructure—pipelines, warehousing, and semantic layers—to power analytics, reporting, and AI across the company and for clinicians.
Engineering Manager- Data & Analytics Team: Technology, Information and Media Location: Bengaluru Commitment: Full-time Workplace Type: onsite Salary: We are looking for a sharp, hands-on Engineering Manager to…
Senior MLOps Engineer builds and maintains scalable ML infrastructure for model training and inference, deploys containerized services on AWS and Snowflake, and establishes CI/CD and monitoring standards for production ML systems.
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Build and deploy AI-driven data pipelines and APIs that turn MSCI’s financial, ESG, and climate datasets into self-service products for quant developers and portfolio managers.
Build secure, scalable data pipelines and platforms using Python, Spark, Kafka, and Kubernetes for mission-critical Defence environments.
Senior SRE role building resilient, scalable infrastructure for a globally scaled AI-native platform on AWS and Kubernetes, focusing on event-driven systems, observability, and chaos engineering.
Build and maintain scalable backend services for a residential energy platform, integrating connected devices and enabling automation for efficiency and savings using Python, PostgreSQL, AWS/GCP, and REST APIs.
Own the lifecycle of a data-aware orchestration product, working with dbt, Airbyte, Snowflake, and Airflow to make pipelines easier to build, monitor, and scale for modern data teams.
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