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The Senior Data Platform Engineer will design and maintain scalable data architectures to support cybersecurity threat detection and analytics. The role involves building data pipelines using Python, SQL, Spark, and cloud-based big data tools while implementing DevOps practices.
Senior Data SRE operating and improving Kubernetes-based data platforms (on-prem/AWS/GCP) using GitOps, observability tools, and supporting data workloads like Spark, Airflow, and ETL pipelines.
Design and build enterprise data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Python, SQL, and Azure cloud services (Azure Data Factory, Databricks, Microsoft Fabric, Snowflake) within NNIT's AI Center of Excellence.
Builds and maintains Azure-based ELT pipelines and ML forecasting models (XGBoost, Prophet, ARIMA) to analyze HRIS data and predict workforce trends at scale.
Senior Data Architect designing enterprise data architectures with Microsoft Data Factory and Data Fabric, leading data modeling, ETL/ELT processes, and data governance across cloud and on-prem environments.
Data Engineer bridging Azure pipeline architecture and ML forecasting model development for enterprise-scale workforce analytics, using Azure SQL, Databricks, Python, and Power BI.
The Senior Software Engineer will design, develop, and maintain enterprise-scale data warehouse solutions and ETL/ELT pipelines. The role involves working with cloud platforms, big data technologies, and data modeling to support analytics and reporting within an agile environment.
Data Engineer building scalable ETL/ELT pipelines on Snowflake, GCP, and Salesforce Data Cloud for a GTM revenue operations data platform.
The Senior Big Data Engineer will design and maintain scalable data pipelines and integration solutions on Google Cloud Platform for a healthcare client. The role involves working with technologies like BigQuery, Dataflow, and Terraform to support enterprise data platforms and modern data architectures.
The Data Engineer will develop and maintain ELT/ETL pipelines and BigQuery datasets to support financial reporting and controlling processes. The role involves collaborating with stakeholders to model data and ensure operational stability within a GCP environment.
Build and optimize Azure Databricks-based data pipelines and Data Lake architectures to process and integrate data from multiple sources for analytics and BI teams.
The Data Engineer will develop and optimize BigQuery datasets and ELT/ETL pipelines while collaborating with stakeholders to ensure data quality and operational stability. The role focuses on data modeling, lineage documentation, and implementing automated testing within a hybrid GCP environment.
Designs scalable data platforms and builds ETL/ELT pipelines in Azure Databricks while modeling data for analytics and collaborating with BI and Data Science teams.
The Senior Data Engineer will build and maintain scalable data pipelines, develop production-grade Python tools, and manage data platform orchestration in a hybrid role based in Warsaw.
The Cloud Data Engineer will design and build scalable data platforms and develop ETL/ELT pipelines using Azure Databricks. The role involves data modeling, pipeline optimization, and collaboration with data science teams.
Senior Data Engineer owning a Snowflake-based Data Lakehouse for trading, compliance, and marketing intelligence, building ETL pipelines, data models, and Power BI dashboards at a fintech trading firm.
Data Engineer designing and building scalable Azure data platforms and ETL/ELT pipelines, collaborating with analytics, BI, and Data Science teams.
Solution Architect designs and delivers client-facing marketing tech solutions on Zeta's platforms, balancing business goals with scalable, secure integrations across marketing automation, loyalty, and data systems.
Senior Analytics Engineer designing and maintaining ELT pipelines and dimensional data models in Google BigQuery using SQL, Python, and dbt to deliver clean datasets to end users.
Builds and maintains scalable data pipelines on Google Cloud for a US healthcare provider, improving analytics and data quality across global hospitals.
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