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Lead data engineering and platform solutions, building and maintaining pipelines and workflows with Databricks, Airflow/Astronomer, Python, SQL, dbt on AWS, while driving data governance, CI/CD automation, and observability.
Senior Data Lead to architect and develop a corporate data platform using Databricks, Airflow, Python, SQL, and AWS in a hybrid setup (CDMX/GDL), managing CI/CD pipelines.
The Data Engineer Lead will design data architecture, develop pipelines, and ensure system monitoring using Databricks, Airflow, and AWS. The role involves leading data engineering initiatives and implementing data governance in a hybrid work environment.
HCLTech is looking for a Big Data Engineer to design and optimize large-scale data pipelines using Python, Spark, Hive, and Airflow. The role involves building ETL/ELT workflows on platforms like Databricks and Snowflake while collaborating with product teams.
The Data Engineer Lead will architect and implement enterprise-level data solutions using Databricks, Apache Airflow, and AWS. The role focuses on building automated CI/CD pipelines, ensuring data governance and quality, and maintaining system observability.
Builds and improves ML models (NLP, tabular data, and optionally CV) using Python, PyTorch/TensorFlow, and SQL; writes production-ready code and translates business needs into ML tasks.
We are looking for a Data Architect to lead the technical vision, architectural strategy, and data modeling frameworks for our enterprise data platform. In this role, you will define how healthcare data—spanning EMRs,…
The Data Engineer will build and maintain large-scale data pipelines and lakehouse architectures to process billions of daily events for an AI-powered productivity platform. The role involves designing ETL frameworks, ensuring data quality, and collaborating with cross-functional teams to support data-driven product features.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.…
GenAI & ML intern at BTG Pactual building intelligent agents, LLM-based products, and classic ML models at scale using Python, containerized deployment, and LLM services.
About the Role Join a team supporting one of the world's largest hyperscale cloud computing environments. As a Data Center Operations (DCO) Technician, you will play a critical role in maintaining the physical…
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Senior Data Analyst building production dashboards, data models, and pipelines using SQL, dbt, Airflow, Snowflake, and Tableau/Power BI for a newer business line at Canada's largest online used car retailer.
Senior full-stack engineer building and scaling customer onboarding systems and APIs for Abnormal Security’s enterprise product suite using Python and Postgres.
Lead the architecture of high-throughput threat detection systems using Spark, Airflow, AWS, and EKS.
Builds and maintains backend services for an AI-driven email security platform, using Python or Go, Kafka, and cloud infrastructure to process enterprise-scale email traffic and migrate customers from legacy systems.
Develop and operate observability platforms using Python and Golang. Own Prometheus, Grafana, and PagerDuty pipelines, ensure system reliability via SLAs/SLOs, and build tooling to support distributed systems.
Abnormal Security is hiring a Full Stack Engineer to build narrative experiences that explain AI-detected email threats to customers, working across React/TypeScript frontends and Python/Django backends integrated with GenAI/LLM systems.
Backend Software Engineer II designing and maintaining high-throughput, low-latency distributed systems for Abnormal’s Federated Intelligence Platform, focusing on data ingestion, storage, and retrieval of threat indicators to power security detection and customer portals.
The Staff Data Engineer will build and maintain the account and contact data foundation for GTM operations, utilizing LLMs, Snowflake, and dbt to drive sales and marketing efficiency. This role involves entity resolution, pipeline development, and close partnership with RevOps and sales teams to ensure high-quality data across the company's GTM stack.
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