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Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at…
Design and optimize HVAC refrigeration and airflow systems for commercial water-source heat pumps, ensuring performance, regulatory compliance, and cost targets while collaborating with cross-functional teams.
Why YOU want this position At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS…
KPMG Global Services KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and…
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Build and scale the backend data infrastructure for an AI-driven health platform, using GCP, Spark, Databricks, and CDC tools to process lab results, imaging, and member data in real time.
Principal Software Engineer designs and builds a self-contained, cloud-agnostic platform that provisions and orchestrates Apache Airflow instances entirely on-premises, including control plane, data plane, APIs, and observability for enterprise environments.
Develops and maintains bioinformatics software pipelines for genomic data processing, including variant calling, annotation, and ETL workflows, using Python, SQL, and cloud tools like Azure.
Lead a team of data engineers building and operating Dropbox’s core data pipelines and self-serve analytics platform using Spark, dbt, Airflow, and Databricks to ensure reliable, high-quality data for decision-making.
Build and operate the low-latency runtime that powers real-time AI agents, handling stateful session management, LLM streaming, and distributed systems challenges in Python and Go.
Lead a team to design and scale an AWS-based data platform, building pipelines, standards, and governance for analytics and future AI use cases.
Orchestrate data-platform implementations for enterprise customers, aligning technical teams and stakeholders to drive adoption of Astro, a SaaS DataOps platform built on Apache Airflow.
Designs and builds enterprise Azure data platforms using Databricks, Spark, and Python, focusing on data lakes, warehouses, and governance for analytics and AI workloads.
Build and scale Astronomer’s observability platform to provide visibility and reliability for enterprise data pipelines using Go, Python, Kubernetes, and stream processing.
Build and scale the data infrastructure that powers large-scale AI workloads, including LLM training, fine-tuning, and retrieval-augmented generation systems.
Senior Database Developer designs, optimizes, and secures cloud data warehouses (AWS Redshift, PostgreSQL/Aurora) for a federal BI suite, ensuring high-performance analytics for executive decision-makers.
Lead cloud database architecture and optimization for a federal BI suite, focusing on AWS Redshift/PostgreSQL, query tuning, and security for executive decision-makers.
Senior ML engineer builds and maintains credit underwriting models for fintech products like Cash App Borrow and Afterpay, using Python, PyTorch, and AI tooling to decide loan terms and manage risk at scale.
Senior Data Engineer leading data modeling, pipeline tooling, and dashboarding for risk and compliance teams, using Snowflake, Databricks, Dbt, and more.
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