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Overview This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsible for all phases of data processing system projects, from requirements definition to…
The Lead Data Engineer will build and scale cloud-first data platforms to support research, analytics, and investment decision-making at a multi-strategy hedge fund. The role involves collaborating with quantitative researchers and portfolio managers to deliver robust data solutions and establish technical standards.
Design and lead Azure-based data governance solutions using Microsoft Purview or similar platforms, guiding teams to deliver secure, scalable systems while mentoring engineers and shaping cloud patterns.
Lead a team to design and build Microsoft Fabric data pipelines and models, enabling enterprise analytics and reporting with Power BI.
Lead AI and data engineering projects to optimize semiconductor manufacturing with predictive models and automation pipelines.
Leads ARENA’s data platform and analytics, driving technical direction for enterprise data engineering and trusted data products to support renewable energy strategy and reporting.
The Senior Data Engineer will design and maintain data platforms on Snowflake and GCP, focusing on data migration, integration, and governance. The role involves collaborating with stakeholders to enable data products while utilizing Infrastructure as Code practices.
Design, build, and maintain Snowflake and GCP-based data platforms, migrating data and enabling scalable, governed data products with strong documentation.
Lead security data pipelines for Cribl and Snowflake, designing scalable ingestion, normalization, and enrichment workflows to support SIEM, SOAR, and threat detection teams while enforcing data governance standards.
SRE lead with knowledge of Java, Google Cloud Platform, Data Engineer Work location - Phoenix, AZ - Hybrid Contract duration 6 months Domain Banking/Domain Complete job description - Need strong SRE lead with good…
Leads Agile transformation and builds a data engineering team, facilitating ceremonies, stakeholder management, and process improvements in a hybrid Catalonia office with international collaboration.
Responsibilities Lead the development of cloud-based data platforms, pipelines, and data products leveraging Python, SQL, Snowflake, and AWS. Build scalable solutions for a variety of data sources, including market,…
DVT is a leading technology consulting and software engineering company delivering innovative solutions across Africa and internationally. We partner with clients to solve complex business challenges through software…
The Senior Data Platform Lead manages and operates enterprise cloud-based data and analytics platforms while driving governance and modernization. The role requires extensive experience in data architecture and platform administration, specifically utilizing Purview and ServiceNow.
Leads a data engineering team to design, build, and maintain scalable data pipelines (batch/real-time) and platforms (Data Lake, DWH) for gambling operations, ensuring data quality, security, and alignment with business goals.
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids…
Lead hands-on Data Engineer building scalable Azure Databricks lakehouse pipelines and Power BI models to power retail analytics and production-ready AI solutions.
The Senior Data Engineer will design and optimize enterprise data platforms using Azure Databricks, PySpark, Python, and SQL. The role focuses on building scalable data pipelines and cloud-based ecosystems while implementing CI/CD practices via Azure DevOps.
Lead Data Engineer designs and maintains scalable enterprise data platforms, ETL/ELT pipelines, and data warehouses using Databricks, SQL, and Python to enable analytics, automation, and AI-driven insights for global operations.
Leads Python-based software engineering for JPMorgan’s Credit Data Pond team, designing scalable cloud data platforms (AWS/Databricks/Terraform) to enhance credit risk technology. Focuses on AI-assisted development, secure CI/CD pipelines, and operational stability in fintech.
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