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Build and maintain CI/CD pipelines and cloud infrastructure for autonomous vehicle software using Python, Kubernetes, and AWS.
Hands-on Senior AWS Solutions Architect who designs and helps build cloud-native, serverless architectures for customer-facing digital apps — including APIs, event-driven integrations, security, CI/CD, and observability — while embedded in a delivery team. 100% onsite in LATAM, working EST hours.
Analytics Engineer in Montreal who designs, develops, and maintains the data transformation layer and dimensional models that feed BI tools for technical and non-technical users. Core stack is SQL and dbt with cloud data warehouses (Snowflake, Redshift, BigQuery, Databricks), Git/CI-CD, and orchestrators like Airflow.
Data engineer at Torc Robotics building AWS-native data ingestion, ETL, and storage pipelines that feed ML training, simulation, and analytics for self-driving trucks. Day-to-day work spans Python, Linux, Docker, Terraform, and AWS serverless services, with a business-hours on-call rotation.
Senior Data Engineer who owns Quandri's Databricks data lake end to end — dbt models, CDC/streaming ingestion from tools like HubSpot, Postgres and DynamoDB, plus AI data infrastructure (embedding pipelines, vector stores, LLM observability) — while mentoring other engineers. Core stack: Databricks, dbt, Python, SQL, and cloud platforms like AWS/Azure/GCP.
Python developer building web-scraping and browser-automation solutions for secured portals, using Playwright and handling MFA/login flows, deployed serverless on AWS (Lambda, S3, Step Functions). Based in Jaipur with 4 days onsite per week.
AWS Bill Generation (BillGen) converts over 20 petabytes of metering data into billions of dollars of revenue every month, running the billing system for one of the largest hyperscalers on the planet. We're looking…
Contract (12+ months) data scientist role in Washington D.C. building machine learning and generative AI solutions for anomaly and fraud detection — NLP, semantic search, and graph analytics in an AWS data lakehouse (SageMaker, Bedrock, OpenSearch). U.S. citizenship and Public Trust clearance required.
Senior Data Engineer at Confluence (investment-management data technology) who designs, builds, and owns scalable production ETL pipelines and data platform components using Python, SQL, and Snowflake, with cloud exposure (AWS/Azure/GCP). Office-based near Pittsburgh, Boston, Toronto, or Montreal, with mentoring and architecture responsibilities.
Software Engineer building, testing, and sustaining mission-focused software systems for a government customer: modern web front-ends (React/Angular/Vue), AWS cloud deployment, Python workflow automation, and AI/ML integration. Requires an active TS/SCI clearance with NSA Full Scope Polygraph.
Amazon Bedrock AgentCore is building the foundational services developers use to create, deploy, and operate production-ready AI agents at scale. AgentCore Harness, launched at AWS Summit New York in June 2026,…
Designs, builds, and operates a 100%-remote, AWS-native lakehouse data platform (Amazon S3 + Apache Iceberg) that powers AI/ML, analytics, and reporting. Day to day: batch and streaming ETL/ELT pipelines in Python and PySpark, data governance with Lake Formation/IAM/KMS, and automated provisioning and CI/CD across environments.
This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Senior Data Platform Engineer to join the team and help build the next generation of data…
We are looking for a highly skilled Senior AI Engineer to spearhead the development of innovative AI and ML solutions, including Recommendation Systems, Data Classification, Search Optimization, and Knowledge Graphs.…
Lead Python Developer building web scraping and browser automation solutions using Python, Playwright, and AWS serverless services (Lambda, Step Functions, S3) for a financial technology platform.
Builds and maintains Python-based web scraping and automation systems using Playwright and AWS, handling secure portals and MFA flows for data extraction.
Build and run the next generation of Swiss Post's reporting platform in Renens (Lausanne): you develop and operate AWS data pipelines end-to-end — Spark batch/streaming, an Apache Iceberg/Athena lakehouse, orchestration with Step Functions — plus monitoring with CloudWatch/Grafana, following 'you build it, you run it'.
We are seeking an experienced AWS Glue Python Developer to design, develop, and support scalable cloud-based inbound and outbound file based data integration and processing solutions. The ideal candidate will have…
Senior Data Engineer in Toronto who owns components of the company's data platform: building and running production-grade ETL pipelines with Python, SQL, and Snowflake on a cloud platform, while influencing architecture and mentoring other engineers.
Designs and builds scalable data pipelines and cloud-native analytics platforms for federal clients using Python, Spark, AWS services, and modern data formats, while ensuring compliance with FedRAMP and NIST security controls.
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