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Azure Data Engineer: Bridge Data Science & Big Data
Builds and maintains cloud-native data pipelines in Azure, bridging data science and engineering to load data into lakes for analytics and ML.
Software Engineer I - Federated Intelligence Platform
Build and maintain high-volume ingestion and low-latency services for Abnormal’s AI-native security platform, ensuring reliable, scalable threat detection across global cloud infrastructures.
Senior Software Engineer
Build and deploy AI-native full-stack applications using LLMs, vector databases, and cloud infrastructure, from streaming UIs to orchestrated agent workflows.
Senior Data Engineer
Senior Data Engineer builds and maintains a secure, scalable data platform for M&A and loan agency transactions, using SQL, AWS data services, and event-driven architectures.
Data Engineer
Designs and builds a secure, scalable data platform for M&A and loan agency transactions, using SQL, PostgreSQL/MySQL, and AWS services to enable analytics and development teams.
Senior Data Product Manager
Senior Data Product Manager drives data-driven product innovation for FastSpring’s SaaS billing platform, focusing on analytics, customer insights, and cross-functional execution to enhance seller trust and business growth.
Data Engineer II - (Remote)
Builds and maintains data pipelines for a sports betting and gaming platform using Python, Airflow, Snowflake, and Databricks to ensure reliable data delivery for business decisions.
Principal Software Engineer
Principal Software Engineer at ZoomInfo building and scaling a unified data platform with GraphQL, BigTable, BigQuery, and Solr+, focusing on real-time processing, multi-tenant isolation, and sub-second query latency.
Semi Senior BI Analyst
A semi-senior BI Analyst builds and maintains dashboards/reports, analyzes datasets for trends, and collaborates with teams to drive data-driven decisions using SQL, visualization tools, and programming.
Internal Client Services - Data Scientist (2 Year Contract)
Builds Power BI dashboards and semantic models that turn raw data into trusted business insights for daily decision-making.
Internal Client Services - Data Scientist: Advanced Analytics, Business Intelligence, Machine Learning and Artificial Intelligence (2 Year Contract)
Builds AI/ML models, BI dashboards, and data pipelines to turn business questions into actionable insights and drive decisions.
Staff Software Engineer, Systems Infrastructure - Agent Evaluation
Builds and owns LinkedIn’s Agent Evaluation Operating System (EOS), a platform that measures, evaluates, and improves AI agents using large-scale data pipelines, LLM-as-a-judge, and real-time monitoring.
Sr. Sales Engineer
Senior Sales Engineer at Bigeye drives AI adoption and data-driven culture by helping enterprises trust their AI systems and data pipelines. Focuses on evangelizing Bigeye’s AI Trust Platform, guiding POCs, and demonstrating value to prospects and customers.
Software Engineer, Enterprise Expansion
Full-stack Software Engineer on Retool's Enterprise Expansion team, building enterprise governance features like admin dashboards, role-based permissions, AI cost controls, and multi-instance management across the entire technical stack.
IT Intern – AI & Data Analytics (Microsoft Fabric)
An IT internship focused on building Power BI reports, designing data pipelines in Microsoft Fabric, and supporting AI-driven analytics for internal stakeholders.
QuadReal Azure Data Engineer Role
Builds and optimizes enterprise data pipelines using Python and Microsoft Fabric, ensuring scalability, maintainability, and compliance with governance standards in a real-estate tech company.
Data Engineer (3 temporary full-time positions available) (Temporary, Full-Time)
Build and maintain data pipelines and ETL processes for a Canadian health and travel insurance provider using Azure tools, SQL, and database best practices.
Senior Data Engineer — ETL Pipelines & AI-Ready Data
Builds and maintains ETL/ELT pipelines for large-scale financial data in fintech, using SQL/Python and cloud tools like Snowflake, Databricks, AWS, Azure, and GCP.