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Senior Data Engineer
Senior Data Engineer builds and maintains scalable Azure-based data pipelines and warehouses, using PySpark, Azure Data Factory, and Fabric to turn raw manufacturing data into trusted insights for global roofing operations.
Product Manager - SRE and Data Engineer
Owns internal PaaS and data platforms that power Sardine’s real-time fraud and AML risk engine, ensuring 99.99% availability, optimizing GCP costs, and enabling AI/ML pipelines.
Senior Data Engineer (ETL & AWS)
Designs and builds scalable ETL/ELT pipelines on AWS, using Python, Spark, and Informatica to feed data warehouses and analytics platforms for a devtools-focused company.
Senior Data Engineer — Healthcare Data & Cloud
Designs and maintains scalable data pipelines and cloud infrastructure to securely process hospital data, improving patient care and operational efficiency.
Senior Data Engineer
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Senior Data Engineer
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and ETL processes to support analytics and business intelligence for a public safety authority.
Data Engineer
Builds and maintains data pipelines using PySpark, SQL, and Databricks to feed analytics and dashboards in Tableau.
Data Developer: Audit Data Engineer (Hybrid)
Build and maintain ETL pipelines and Power BI data marts to deliver clean, validated datasets for auditors, ensuring data governance and security.
Senior Systems Developer/Designer (Data Engineering)
Design and build scalable cloud-native data platforms and pipelines for a property assessment organization, enabling analytics, AI, and business decision-making using AWS, Python, Spark, and modern data architectures.
ETL Data Engineer - HYBRID
Design and maintain cloud data warehouses and ETL pipelines for banking systems, transforming financial data into trusted datasets for reporting and analytics using Python, Spark, and cloud platforms like Snowflake or Databricks.
Data and AI Engineer
Build and maintain data pipelines and models to power AI/ML initiatives in a global biopharma company, ensuring data quality and enabling faster drug and vaccine development.
Sr Analyst, Digital Data Engineering
Senior Analyst builds and maintains scalable data pipelines, dashboards, and analytical models to track digital customer journeys and drive business decisions across Rogers’ web, mobile, and marketing channels.
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 Engineering Developer
Senior Data Engineer building and optimizing large-scale financial data pipelines in AWS, ensuring governance, security, and performance for capital markets systems.
Data Engineer III
Build and maintain large-scale data pipelines, ETL frameworks, and metadata systems for a major bank, ensuring data quality and compliance with enterprise standards.
Data Engineer III
Build and maintain data pipelines, ETL jobs, and data models for a large bank, ensuring data quality, governance, and compliance with enterprise standards.
Senior Data Engineer
Senior Data Engineer builds and optimizes large-scale data pipelines for Samsung’s cloud services and devices, processing TBs of data daily using AWS, Spark, Kafka, and Python.