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The Data Engineer designs, builds, and maintains enterprise data pipelines and integration processes to support analytics, BI, and AI initiatives. The role utilizes technologies such as Microsoft Fabric, SQL, Python, and Spark to ensure reliable and scalable data platform services.
The Senior Data Engineer will design and build scalable data infrastructure and ETL/ELT pipelines within an Azure and Databricks Lakehouse environment. The role involves collaborating with cross-functional teams to support AI and analytics workloads while mentoring junior engineers.
The Data Engineer will design and maintain data pipelines on Azure using medallion architecture, ensuring data governance and security. They will also transform data for Power BI models and optimize Azure workload performance.
Senior Technical Program Manager leading a human biological data platform for a pharma client, managing cross-functional programs across data engineering, AI/ML, and scientific workstreams using GCP, Jira, and a hybrid agile/waterfall delivery model.
The Junior Data Engineer will build and maintain ETL/ELT workflows and data models to support marketing analytics and dashboarding. The role involves working with Google BigQuery, SQL, and visualization tools like Tableau to ensure reliable data flows for high-profile clients.
The Data Engineer will design, develop, and maintain data pipelines and platform services using Microsoft Fabric and Apache Spark to support the Canadian Cancer Society's digital transformation. This role involves building scalable data solutions, ensuring data quality and governance, and collaborating with cross-functional teams in a hybrid work environment.
The Full Stack AI Developer will build user interfaces and backend services for AI solutions, manage data ingestion, and maintain CI/CD pipelines. The role involves deploying applications on AWS and ensuring system observability using tools like Datadog and Splunk.
Staff-level engineer on Anthropic's Capacity Engineering team building production systems to plan, measure, and optimize utilization across one of the largest AI infrastructure fleets in the industry. Work spans data pipelines (Python/BigQuery), Kubernetes-native observability (Prometheus/Grafana), capacity planning tooling, and cost attribution — with direct impact on eight-figure monthly spend a
The Threat Intelligence Engineer will build infrastructure and automated detection systems to identify abusive behavior and scale threat discovery capabilities. The role involves developing data pipelines, integrating external threat intelligence sources, and creating internal tooling using Python, SQL, and AI-driven workflows.
Data Engineer designing, building, and optimizing modern data platforms on Azure, Databricks, and Fabric for a digital transformation consulting firm.
Data Engineer designing and building modern data platforms on Azure, Databricks, and Fabric for client consulting engagements at a digital transformation firm.
The Data Platform Engineer will build and maintain data ingestion pipelines and transformation models using Snowflake, dbt, and AWS to support business reporting and AI initiatives.
Description The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role…
MLOps Engineer designing, deploying, and managing scalable machine learning pipelines in production with CI/CD, automation, and enterprise system integration.
The AI & Data Platform Lead will design and implement the company's first modern data platform, building pipelines, semantic models, and executive dashboards to support decision-making across engineering and business operations. This hands-on role involves establishing data governance and integrating enterprise systems to enable AI-driven workflows.
Designs and maintains high-quality data pipelines and analytics workflows, ensuring data accuracy, traceability, and observability for business decision-making using Python, SQL, Azure Data Factory, SAP, and M365 integrations.
This contract role involves building enterprise data pipelines and Lakehouse architectures for a government organization focused on climate and environmental resources. The position requires expertise in Databricks, PySpark, and Azure cloud services.
This role involves designing and maintaining scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The engineer will build data models, implement quality controls, and ensure data governance for enterprise-level solutions.
The Lead Data Engineer will design, build, and maintain enterprise-scale data platforms on Microsoft Azure to support advanced analytics. The role involves optimizing ETL/ELT processes, ensuring platform reliability, and collaborating with cross-functional teams using technologies like Azure Data Factory, Databricks, and Synapse Analytics.
The Data Engineer will design, build, and maintain data ingestion pipelines and curated datasets using Snowflake, Python, and SQL. This role focuses on supporting the company's data platform and AI-facing data foundations while utilizing AI-assisted tooling for development.
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