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Build and maintain data pipelines and ETL/ELT processes on modern cloud platforms while creating semantic models for business intelligence and supporting self-service analytics via Power BI.
Design, build, and maintain scalable big data processing pipelines using Apache Spark, Databricks, and cloud platforms for an IRS project requiring MBI clearance and GFE.
Lead Data Engineer responsible for building and evolving the data stack from pipelines to platform, creating infrastructure for product intelligence, financial reporting, and self-serve analytics using technologies like Snowflake, DBT, Airflow, and AWS.
Builds and maintains enterprise data pipelines, warehouses, and semantic models in Azure to deliver trusted analytics for business users.
Senior Data Architect supporting the JIMS 3.0 initiative, responsible for data architecture analysis, design of enterprise data warehouse and data marts, and ensuring compliance with government standards. Core technologies include SQL Server, SSIS, and data modeling tools.
A Senior Data Architect supports the Government of Alberta’s Justice Information Management System (JIMS 3.0) project, designing an Enterprise Data Warehouse, dimensional data models, ETL processes, and ensuring data quality and governance, with a focus on Kimball architecture, SQL, Azure, and public-sector experience.
Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the…
Builds and maintains data pipelines, transforms raw data into structured formats, and ensures data quality/reliability for BI and analytics. Core focus: ETL, SQL, data modeling, and BI tooling (e.g., Tableau).
Builds and maintains data pipelines, automates workflows, and creates reports/visualizations for business intelligence using SQL, ETL, and open-source tools like Apache Airflow and Spark.
Build and maintain cloud-native data pipelines and dimensional models in Snowflake, migrating from legacy systems to AWS-based analytics infrastructure.
Builds and maintains dbt models to transform raw data into trusted datasets for analytics, ensuring data quality, optimizing query performance, and enabling self-service analytics for business intelligence.
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Design and maintain ETL pipelines, data warehouses, and BI reports using Microsoft stack to support insurance underwriting and claims analytics.
Build and maintain Snowflake data pipelines and models for a fintech payments company, using Streams, Tasks, and Dynamic Tables to create BI-ready datasets.
Designs and maintains scalable data pipelines and enterprise data platforms using Snowflake and Azure Data Factory to enable analytics and reporting for a professional services firm.
Senior Data Engineer leads the evolution of data infrastructure, building scalable pipelines and platforms for product intelligence, financial reporting, and self-serve analytics in healthcare tech. Focuses on enabling data-driven decisions for clinicians and internal teams using cloud-based tools and cross-functional collaboration.
Designs Snowflake-based data pipelines and models for banking/financial analytics, specializing in Jack Henry core banking data, dbt pipelines, and performance optimization.
Senior Analytics Engineer builds and maintains data models and pipelines for banking analytics, mentors junior teammates, and ensures data quality and governance.
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Builds and maintains data pipelines, lakehouse infrastructure, and BI tools for a Malaysian fintech firm, using Azure PaaS, Power BI, and Python/SQL to transform raw data into actionable insights for end users.
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