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Build and lead Anduril’s data models and analytics infrastructure, turning raw military-operations data into real-time, AI-powered decision tools using Palantir Foundry, SQLMesh, and Apache Iceberg.
Build and own data pipelines and models for a defense-tech platform, using SQLMesh, Palantir Foundry, and AWS Athena to power real-time analytics and AI-driven command systems.
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
Data Engineer II (SDE-2) at Fam (formerly FamPay), India's payments app for teens, building a scalable data lakehouse targeting sub-minute latency. Day-to-day involves complex CDC pipelines, PySpark/SQL development, AWS infrastructure, Airflow/Temporal orchestration, and AI-assisted engineering.
Every day, advertisers and partners worldwide measure the success of their Amazon Ads campaigns through the data Programmatic Reporting delivers: billions of aggregated datapoints that AI agents, machine learning…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Th e Senior Data Engineer is responsible fo r designing, building, and maintainin g the data pipelines, transformation layers, and data models that power the enterprise lakehous e . This role is a technical anchor on…
Senior Data Engineer at Experis España building and integrating data-platform APIs in Python/FastAPI to expose Gold Layer data to internal consumers. Works with SQL, Databricks, AWS, and Apache Iceberg lakehouse architectures alongside Data Engineering and Frontend teams, on a hybrid basis from Málaga (2-3 office days/week).
Senior Data Engineer owning end-to-end data platform architectures (lakehouse, catalogs, governance) at a quantum software/AI company — designing large-scale ETL/ELT pipelines and data models with Python, SQL, Spark, Airflow/Argo, open table formats, and cloud platforms (Azure/AWS/GCP), supporting ML/AI teams. Hybrid role with offices in San Sebastian.
Staff engineer on Rippling's Data Cloud team building large-scale data ingestion pipelines and analytics infrastructure (Python, Kafka, Iceberg, Temporal) for a multi-tenant platform syncing billions of rows daily across tens of thousands of customers, replacing customers' need for separate data lakes, warehouses, and pipelines.
Our client is searching for a Data Engineer for a remote temp-to-perm role. ***All candidates must work directly for TEKsystems on a W2 basis until this position converts to full-time employment and no sponsorship is…
Data Scientist on Aircall's product analytics team, partnering with product, engineering, and business leaders to deliver insights, run experiments, and build self-serve analytics for its AI-powered customer communications platform. Core stack: SQL, Python, Hex, Looker, dbt/Airflow; hybrid role based in San Francisco (2 days/week in office).
A Data Scientist specializing in visualization who builds and maintains Looker/LookML dashboards and stakeholder-facing data products for Aircall's go-to-market teams, handling query optimization, caching, and metric governance. Core stack: SQL, Python, Looker/LookML, Hex, dbt/Airflow.
Aircall is hiring a Senior Data Infrastructure Engineer in San Francisco to build and run its data platform: migrating off Redshift to an Apache Iceberg lakehouse on S3, owning Flink CDC→Kafka ingestion, dbt-on-Spark via Kyuubi on EKS, Airflow orchestration, governance, observability, and self-service tooling for analytics engineers.
Staff Software Engineer on PlayStation's Data Platform team, designing and operating large-scale real-time analytics and stream processing systems (RTAP) using Apache Flink, Spark, ClickHouse, Druid, Kafka, and Python/Scala.
Design and maintain high-throughput data pipelines and lakehouse infrastructure to power large-scale AI model training and inference for aviation software.
Are you passionate about delivering quality services and ready to apply your experience at massive scale? Amazon S3 is the storage for the internet, and Amazon S3 Tables is the first cloud object store with built-in…
Build and lead Toast’s data platform: real-time streaming, Iceberg lakehouse, and ML feature serving that power analytics and AI-driven features for 170,000+ restaurants.
Adastra is hiring a contract Lead AWS Data Engineer (3 months, hybrid 3 days onsite in NYC or Toronto) to build secure, scalable AWS data lake solutions for a global institutional investment client. Core stack: Lake Formation, Glue, Athena, Apache Iceberg, Python/PySpark, SQL, and Terraform.
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