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Multi-disciplinary data professional who enjoys solving Healthcare analytics problems. Strong understanding of the U.S. Healthcare value chain (Payer and/or Provider). Experience working with healthcare data including…
At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse…
JOB SUMMARY The Senior Manager, Technical Lead Reporting & Analytics for Oracle Fusion Data Intelligence (FDI) owns the target architecture, technical roadmap, architecture standards, and material design decisions…
JOB SUMMARY The Director, Corporate Systems Reporting and Analytics provides technical leadership for the architecture, design, implementation, and operation of the Oracle Fusion Data Intelligence (FDI) platform, with…
Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Principal will report to the Sr…
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With…
Shepherd, a Series B insurtech modernizing commercial property & casualty underwriting, is hiring its first dedicated Analytics Engineer in San Francisco to build and own the canonical analytical layer — dimensional models, shared definitions, and dbt pipelines that power actuarial, reporting, product, and AI-assisted workflows.
Database Developer at ImageTrend (healthcare/emergency response software) focused on improving performance, reliability, security, and maintainability of product databases. Day to day: reviewing SQL and schema changes before releases, tuning queries and execution plans, indexing strategy, monitoring production, and administering SQL Server and Azure data platforms, with an on-call rotation.
Data Engineer on Bunnings' Data, AI, Loyalty and Analytics team, building and maintaining scalable data pipelines, curated datasets, and dimensional/semantic models for reporting, self-service analytics, and AI use cases. Core stack: Python, SQL, dbt, Apache Airflow, Snowflake, and Power BI.
Senior Data Engineer at Bunnings in Melbourne, working hands-on in the Data, AI, Loyalty and Analytics team to design production data pipelines, dimensional/Data Vault models, and reusable frameworks using Python, SQL, dbt, Apache Airflow, and Snowflake. An individual contributor role that also involves coaching engineers and guiding technical decisions for reporting, analytics, and AI initiatives
Senior Data Engineer at Fusion Worldwide, an electronics components distributor, building and running the data/intelligence platform on top of its internal ERP (RMS): pipelines, quality gates, system-of-record write-backs, APIs, and AI agent workflows. Stack: SQL Server/Azure SQL, Python/PySpark, TypeScript, React, Azure, with Claude-driven agentic development.
Sole hands-on data engineer designing, building, and operating Brio Water Technology's end-to-end data platform in Glendale, CA: ingestion pipelines, a governed Databricks lakehouse, dbt modeling, ML/unstructured-data pipelines, LLM integrations, and governed BI reporting. Core stack: Databricks, dbt, SQL, Python, MLflow.
Technical lead (hands-on, no direct reports) for Airbnb's Foundational Data team, owning multi-year data architecture and Airflow-orchestrated pipelines that ingest telemetry, logs, and billing data, and building dimensional models and trusted metric definitions for cloud cost, traffic/bot measurement, and new AI cost/usage datasets. Core tech: SQL, Python, Airflow.
Vida, a virtual obesity care provider, is hiring a Senior Data Engineer to own its data platform end to end: designing ingestion from health plans, employers, and internal systems, then validating, transforming, and serving data for reporting and analytics. Core stack involves strong SQL, Python, data modeling, and a cloud data platform.
Designs, builds, and maintains ETL/ELT pipelines, API integrations, and real-time streaming solutions for enterprise clients, powering analytics and AI. Core stack includes dbt, Airflow, Azure Data Factory, Kafka, Python, and cloud warehouses like Snowflake, BigQuery, and Azure Synapse. Requires 3+ years in data engineering/integration.
On-site Business Intelligence Analyst at a real estate investment firm, partnering with FP&A, business leaders, and IT to build Power BI dashboards and semantic models, write SQL/DAX/Power Query, leverage Microsoft Fabric and the data warehouse, and improve reporting, data quality, and self-service analytics across finance and operations.
Senior hands-on architect who builds ProviderTrust's greenfield data warehouse/data lake and leads LLM implementation for internal tooling and customer-facing features, including RAG pipelines, guardrails, and model evaluation. Core tech: SQL, Python, dbt/Airflow/Spark, cloud data platforms (Snowflake, Databricks, etc.), and LLM APIs.
Data engineer (via recruiter HireHi, role at SITA) building scalable cloud data architectures, ingestion patterns, and ETL/ELT pipelines for the global air transport industry, using Databricks, Azure, Spark, SQL, Python, and exploring LLM-based analytics. Hybrid role in Barcelona with up to 2 days/week work from home.
Data Engineer in Kyndryl's Applications, Data & AI practice, designing and maintaining scalable ETL/ELT pipelines and cloud-native data platforms on Google Cloud (BigQuery, Dataflow, Pub/Sub, Composer, Dataproc) to support enterprise analytics and AI use cases. Requires strong SQL and Python plus fluent Spanish and English.
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to…
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