Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Senior Databricks-focused data engineer at digital product consultancy Livefront, working remotely from Peru. Day to day: designing and building production Lakehouse pipelines (DLT, PySpark, dbt), Unity Catalog governance, and data/AI foundations on AWS/Azure for consulting clients.
Senior Data Engineer who designs and owns a petabyte-scale data lakehouse for AI/ML workloads: ingestion pipelines, open table formats, cataloging, governance, and vector database infrastructure serving researchers and production inference. Core tech includes Python, SQL, AWS, lakehouse engines (Iceberg/Delta/Hudi, Spark/Flink/Trino/DuckDB), and vector databases like pgvector or Milvus.
Senior backend engineer at Distributed Spectrum builds and operates the core platform services that ingest global RF sensor data, serve ML models (GPU inference), and orchestrate LLM-driven agents. Day to day is Python/Go/Rust backend and distributed systems work on AWS with gRPC, streaming queues, and model-serving tech like Triton/vLLM.
Senior Data Engineer at Clutch, Canada's largest online used car retailer, owning the data platform end-to-end: building reliable ELT pipelines, data models, and data quality/observability to power analytics and financial services decisions. Core stack: Snowflake, dbt, Airflow, Python, and AWS; hybrid role based in downtown Toronto.
Data Engineer for a rail-vehicle manufacturer's Vienna-area competence center: day to day you build and optimize data pipelines/ELT, stand up serverless AWS infrastructure via CloudFormation, develop Python/SQL backends, containerize apps with Docker, and maintain GitLab CI/CD alongside software and analytics teams.
Dans le cadre de la création d’une Data Platform à l’échelle européenne, nous recherchons un(e) Senior Data Platform Engineer disposant d’une solide expertise des environnements Data sur AWS pour le démarrage d’une…
Designs and builds reliable batch and streaming data pipelines (ETL/ELT) and scalable, product-oriented data platforms on cloud (Azure, GCP, AWS) for client projects, using SQL, Python, Spark/dbt, Databricks, Snowflake, Airflow and Great Expectations, with a focus on data quality, governance, cost and performance optimization for analytics and AI.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.…
Engineer on AWS's Amazon MSK team, building and operating a fully managed Apache Kafka data-streaming service at cloud scale. The work spans the service's APIs and workflows, the core Kafka platform (with changes released back to open source), and supporting tools — designing features, improving performance, and building scalable streaming services.
A senior data engineer role on Singapore Airlines' IT team: designing and building custom data ingestion and MLOps platforms, operating distributed pipelines (Airflow, Kafka, Spark) on AWS and Databricks, and helping deploy ML models at scale for business users.
Build and maintain the core data platform that lets teams ingest, transform, and serve data at scale using Python, Java, Snowflake, Redshift, and AWS services.
Build and maintain the core data platform that lets data teams create and deploy data products efficiently using Python/Java, Snowflake/Redshift, and AWS services.
Senior engineer building and improving a large-scale creator search experience: retrieval, multimodal embeddings, ranking, relevance, and low-latency serving across hundreds of millions of profiles and billions of media files. Stack includes Python/TypeScript, AWS/GCP, Elasticsearch, vector search, and LLM-powered features. Fully remote in Europe.
Senior engineer building a large-scale creator search experience used by thousands of businesses — improving retrieval, embeddings, ranking, relevance, and low-latency serving across hundreds of millions of profiles and billions of media files. Stack includes Python, TypeScript/Node.js, Elasticsearch, vector databases, and AWS/GCP.
A senior engineer on NICE's CX team in Pune who designs and builds AI-enabled data services and self-serve tooling for creating and improving AI assistants, participating in the full product lifecycle. The core stack is Python/Scala with big data technologies (Spark, Iceberg, Airflow), Kafka, Kubernetes, and AWS services like EKS, EMR, S3, and Kinesis.
Job Description Desired Competencies (Technical/Behavioral Competency) Strong hands-on experience designing & developing Amazon Connect contact flows & routing profiles. Expertise with AWS Lambda, DynamoDB, S3,…
Site Reliability Engineer at CentralReach, a healthcare software provider for autism and IDD care, owning deployment and daily operations of AWS infrastructure and Snowflake data-platform connectivity. Day to day: administering AWS services (S3, Glue, Kinesis, PrivateLink), troubleshooting incidents, and automating operations from a hybrid Verona, Italy office.
A lead AI & data platform engineering role in Melbourne (hybrid) at a financial services employer, owning a petabyte-scale Databricks Lakehouse (Delta Lake, Unity Catalog) and production MLOps/LLM pipelines on AWS, provisioned with Terraform. Core stack includes PySpark, Python, SQL, Scala, MLflow, Langchain, Kafka/Kinesis and GPU cluster tuning.
Senior Data Platform Engineer to help design and industrialize a new European real-time data platform on AWS, building real-time ingestion with Kinesis, S3 lakehouse storage, and Infrastructure as Code with CDK. On-site role based in Paris.
