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Senior/Lead - AI Data Analyst - AI Engineering
You’ll analyze financial and operational data using SQL, Python/R, and AI tools to build dashboards and reports that guide decisions in risk assessment and business strategy.
Data Engineer Consultant (Microsoft Fabric)
Design and build scalable cloud data pipelines and lakehouse architectures using Microsoft Fabric and Azure, enabling clients to turn raw data into actionable intelligence through end-to-end data engineering.
Technical Lead (Data Engineering)
Lead a 20-person team to deliver a multi-track data engineering program for a retail client using Snowflake, Databricks/Spark, Airflow, Kafka, and Postgres, while driving AI-enabled automation and operational rigor.
Lead Data Engineer
Lead the design and delivery of Xanadu’s cloud-based data platform, building scalable pipelines and data models to support quantum computing R&D, manufacturing, and business analytics.
Senior Data Engineer
Build and maintain a finance data platform using Airflow, Databricks, Spark, and SQL to ingest, enrich, and reconcile financial datasets for analytics and reporting.
Senior Data Engineer
Build and maintain scalable data pipelines and ETL processes for blockchain analytics using Python, Snowflake, Dagster, and dbt to support staking rewards and reporting.
Senior Data Engineer
Build and scale Relay’s Snowflake data warehouse and DBT models, create data tools and APIs, and ensure secure, privacy-preserving analytics for fintech growth.
Senior Data Engineer
Build and scale a data platform from the ground up, designing pipelines, models, and orchestration to enable reliable analytics and decision-making across the company.
Lead Data Engineer: Scalable Pipelines & Cloud
Lead a team building scalable data pipelines on AWS, Airflow, Snowflake and MS SQL/NoSQL to power analytics and fan-engagement features for a sports & entertainment marketing platform.
Data Engineering Specialist
Builds and maintains data pipelines and analytics-ready datasets in Snowflake and Power BI for large capital-infrastructure programs, using Azure Data Factory to ingest and transform messy data from ERP, PMIS, and external sources.
Senior Data Engineer
Senior Data Engineer builds and scales cloud-native data pipelines, warehouses, and APIs for a fintech client, using AWS, Snowflake, Python, and SQL.
Manager, Data Engineering
Lead a team of data engineers to build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and DBT for a fast-growing Canadian dental healthcare network.
Data Engineering Lead and Data Engineers
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
Data Engineer
Build and maintain ETL pipelines in Databricks for a Capital Markets data hub, setting standards and enabling clean data flows across teams.
Data Engineer & Data Architect (Onsite)
Designs and maintains data infrastructure, ETL pipelines, and cloud-based warehouses to support analytics and reporting for a construction/infrastructure-focused company.
Staff Data Engineer
Build and own the real-time data pipelines and infrastructure that feed AI models for a biotech platform, integrating customer systems and ensuring clean, reliable data at scale.
Data Engineering Analyst
Build and secure Snowflake and AWS data infrastructure, automate provisioning with Terraform, and implement RBAC and governance for regulated financial analytics.
Senior Manager, Data Engineering
Lead a team of data engineers to build and maintain Dropbox’s core data platform, ensuring reliability, quality, and cost efficiency for analytics and decision-making across the company.
Cloud Data Engineer
Design and build scalable cloud data pipelines and analytics solutions using Snowflake, Databricks, Python, and SQL for enterprise clients.
Staff Data Engineer: Snowflake & Data Pipelines (Security)
Designs and optimizes Snowflake-based ETL/ELT pipelines, automates data workflows with Python and Airflow, and enforces security and governance for analytics and AI initiatives.