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Hybrid Data Platform Engineer — Scalable Pipelines & Cloud
Designs and maintains scalable data pipelines and cloud-based data lake/warehouse architectures using Azure/AWS, Terraform, Databricks, Python, and SQL Server.
Data Engineer (6-Month Hybrid) - AWS & Databricks Pipelines
Design and maintain AWS and Databricks data pipelines to support global supply-chain analytics in a hybrid role.
Senior Data Engineer (GCP) I WFH - Up to 110K Salary
Designs and optimizes cloud-based data warehouses (GCP/BigQuery) for healthcare analytics, building pipelines and models to support Clinical, Patient Accounting, and Corporate teams while ensuring data quality and performance.
Data Platform Engineer – Real-Time Pipelines & Cloud
Builds and maintains real-time data pipelines and cloud-based platforms to improve data accessibility and security for a telecom company.
Data Platform Engineer: Build Scalable Pipelines & Infra
Designs and maintains scalable data pipelines and infrastructure for a telco provider, collaborating on architecture decisions and platform roadmaps; core techs: Python/Java, Hadoop, Flink, Airflow/Dagster.
Data Platform Engineer: Build Scalable Telco Pipelines
Build and maintain scalable data pipelines and the data warehouse for a telecommunications company.
Lead Data Engineer - Azure Databricks, Spark TB-scale ETL
Design and maintain TB-scale ETL pipelines on Azure Databricks and Spark, ensuring data quality and governance while collaborating with cross-functional teams.
Data Platform Engineer — Build & Scale Telco Pipelines
Designs and scales data pipelines for a telecom’s data warehouse using Python/Java, focusing on architecture, capacity planning, and release workflows.
Senior Data Platform Engineer
Designs and builds scalable data pipelines and cloud-based data platforms to enable analytics and insights for a product company.
Data Platform Engineer – Azure Data Lakes & Pipelines
Designs and maintains scalable Azure-based data pipelines and architectures, leading Agile teams to process and store data efficiently.
Senior Azure SQL & Data Pipeline Architect
Designs and optimizes Azure SQL databases, builds scalable data pipelines with Azure Data Factory, and uses Synapse/Databricks for analytics while ensuring performance and CI/CD.
AWS Glue Data Engineer
Designs and maintains AWS Glue-based ETL pipelines using Python and PySpark to integrate and process data across AWS services like S3, Redshift, and Lambda.
Senior SRE: Global Observability & Data Pipelines Architect
Design and operate a global observability platform for industrial wind turbines, building scalable monitoring, data pipelines, and dashboards in a Linux-based open-source environment.
Data Engineer Solution Specialist
Design and maintain data pipelines, models, and analytics solutions to turn raw data into insights for Marsh Risk’s global insurance and risk operations.
Home-Based DCX Data Engineer
Designs and maintains Snowflake-based ETL/ELT pipelines and dimensional data models to feed analytics and AI, ensuring high-quality, governed data for cross-functional teams.
AI-Powered Full-Stack Data Engineer | Snowflake & Python
Builds Python-based data pipelines and Snowflake workflows, integrates REST APIs, and develops self-service web apps for internal teams, leveraging AI tools like Claude for development.
Remote Snowflake Data Engineer — ETL/Analytics
Design and maintain scalable Snowflake-based data pipelines with dbt for analytics, reporting, and AI features while ensuring data quality and lineage.
Databricks Data & Pipeline Quality Analyst
Ensures data pipelines and ingestion processes run smoothly by validating delivery completeness and schema compliance, using SQL and analytical tools to support marketing data engineering in a fintech company.
ETL Developer: Data Pipelines & Analytics
Designs and maintains ETL pipelines to feed business intelligence and analytics, using SQL and tools like Informatica or Talend.
ETL Developer: Build Scalable Data Pipelines
Designs, builds, and maintains ETL workflows and data pipelines using tools like Informatica and SQL to ensure data quality and integration.