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Data Engineer – Microsoft Fabric & Analytics Platform
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.
Senior Data Engineer / Analyst
Designs and maintains data pipelines, dashboards, and analytical models to optimize grocery operations by analyzing sales, stock, delivery, and in-store customer movement data.
Data Engineer - Enterprise Streaming & Content
Designs and maintains scalable data pipelines and models for a global streaming giant, handling batch and live event data to power customer-facing features and global analytics.
Senior Data Engineer
Senior Data Engineer responsible for designing, maintaining, and optimizing data pipelines and infrastructure to support analytics, forecasting, and production ML systems in a hospitality tech company using AI for staffing optimization.
Apprentice Data Engineer
Apprentice Data Engineer assists with building and maintaining data pipelines, administering MSSQL/MySQL databases, and ensuring data quality in a hybrid cloud environment for a climate-tech software company.
Data Engineer - Talend (Security Cleared)
Builds and maintains complex ETL/data integration pipelines using Talend, Oracle databases, and CI/CD automation to transform and move data efficiently.
Staff Data Engineer
Lead the design and evolution of MoonPay’s data platform, building scalable pipelines, governance, and ML enablement while partnering with engineering and compliance teams.
Data Engineer (Snowflake)
Designs, builds, and optimizes Snowflake data warehouses, develops scalable ETL pipelines, and integrates Snowflake with Azure/AWS for enterprise clients. Focuses on data performance, security, and collaboration with project teams.
Senior Data Engineer
Senior Data Engineer shaping Very’s cloud-first data platform, designing scalable pipelines, and mentoring engineers to improve data-driven decision-making and customer experiences.
Senior Data Engineer
Design and maintain ETL pipelines, data warehouses, and BI reports using Microsoft stack to support insurance underwriting and claims analytics.
Lead Data Engineer
Lead a team to design, build, and deploy scalable data pipelines and platforms using Python, SQL, and cloud tools (AWS/Azure/GCP) for public and private sector clients.
Junior Data Engineer
Build and maintain scalable data pipelines and tools (Python, SQL, BigQuery, Dagster) to power Urban Jungle’s insurance products and analytics, collaborating with cross-functional teams.
Data Engineer – Snowflake
Build and maintain Snowflake data pipelines and models for a fintech payments company, using Streams, Tasks, and Dynamic Tables to create BI-ready datasets.
Azure Data Engineer: Scalable Financial Data Pipelines
Build and maintain scalable Azure data pipelines for financial services, using ADF, Databricks, Python, PySpark and Spark SQL to deliver auditable data at scale.
Data Engineer
Designs and builds scalable AWS backend services and event-driven data pipelines using Scala, Spark Streaming, and Kafka, deploying on Kubernetes.
CD&A Data Engineer
Build and maintain cloud data platforms on GCP, designing scalable pipelines with dbt, Airbyte, and Prefect while using AI-assisted tools to deliver reliable analytics and reporting for a global connectivity company.
Lead Data Engineer
Lead a team to design and build scalable AWS-based data pipelines and lakehouse architecture, balancing hands-on engineering with technical leadership and mentorship.
Full-Stack Engineer: Build & Deliver Secure Apps
A Full-Stack Engineer builds and maintains secure, high-quality applications using C#, TypeScript, MS SQL, and Azure, collaborating with stakeholders to deliver features across frontend and backend systems.
Data Engineer
A junior data engineer cleans, transforms, and analyzes large datasets to uncover trends, builds ML models (regression/classification), and writes SQL queries. They collaborate with teams to ensure data integrity and create visualizations (Tableau/Power BI) for stakeholders.