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Data Analyst
Toronto-based Data Analyst at Wellington-Altus Private Wealth, an investment dealer. The role analyzes capital markets, portfolio, and financial transaction data using advanced SQL on AWS (Redshift, Athena, PostgreSQL), supports ELT pipelines (Glue, Lambda, Airflow, CloudWatch), and delivers reports and dashboards to business stakeholders.
Senior Staff Software Engineer - AI Governance
Senior technical leader on OneTrust's AI Governance platform: designs and builds Java/Python microservices, Kafka/Flink event pipelines, and semantic-layer reporting/dashboard capabilities on Azure so enterprises can deploy and govern AI/LLM applications responsibly. Office-first role in San Francisco, ~3 days/week in office.
Staff Applied AI Engineer
Staff-level applied AI engineer at Ivanti who builds data pipelines over Snowflake and unstructured data, ships churn analytics and predictive models, and produces production LLM/agentic AI systems optimized for token cost and latency. Also defines enterprise reference architectures and MLOps/LLMOps standards for other teams.
Senior Data Engineer
Designs, builds, and maintains scalable cloud data pipelines and enterprise data solutions for Care Access's clinical, operational, and reporting needs, with technical leadership on data architecture and governance. Core stack: Azure, Databricks, dbt, SQL, Python, and Airflow/Azure Data Factory. Fully remote within the US with <10% travel.
Principal Engineer, AI/ML Security
Leads DigitalOcean's AI/ML security: owns the AI security strategy and multi-year roadmap, builds in-house ML guardrails and security tooling, runs AI red-teaming and threat modeling across the ML lifecycle, and owns AI risk & governance. Core stack: Python, Go, adversarial ML, LLM/RAG security, MITRE ATLAS and NIST AI RMF.
Technical Product Manager II, Content Data Products
Technical Product Manager for The New York Times' Content Data Products team, leading the content data warehouse roadmap, ingestion pipelines, and data modeling/indexing of content across NYT brands to power search, retrieval, and AI. Hybrid NYC role (3 days/week in office) partnering with engineering, editorial, legal, and the NAPP team.
Staff Software Engineer
Staff Software Engineer on AlphaSense's Reference and Entity Data Systems (REDS) team, owning the architecture of the entity data platform that ingests global vendor company data, resolves it into authoritative records, and delivers it downstream. Work spans distributed systems, data pipelines, entity resolution, data quality, and AI-assisted classification and validation.
Senior Data Engineer
Senior Data Engineer building scalable ETL pipelines and API-based data ingestion using Python and SQL on cloud platforms (AWS/GCP/Azure). The role involves implementing software engineering best practices and data-devops principles for an AI-powered compliance automation platform.
Experienced AI/ML Engineer
Permanently remote AI/ML engineer (2-5 yrs experience) who designs, builds, and deploys end-to-end machine learning applications — predictive modeling, forecasting, customer analytics, and fraud detection — for a finance-focused company, using Python plus ML/DL/NLP/GenAI techniques and cloud platforms like AWS or Oracle Cloud.
Analytics Engineer, Associate
Analytics Engineer (VP) at TPG, a global alternative asset management firm, in Fort Worth, TX. Owns the full lifecycle of data solutions — building ETL/ELT pipelines, data models, and semantic layers, and delivering BI in Power BI and Databricks AI/BI using SQL, PySpark, and Delta Lake, partnering with Finance and Accounting stakeholders.