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Enterprise Data & Analytics Senior Data Engineer Hybrid | San Diego, CA Compensation: $105,000 - $132,000 per year Actual compensation within this range will be determined by factors including experience,…
Build and support centralized ETL/ELT pipelines and data models for a financial holding company. Use SQL, Python, and warehousing technologies to integrate data sources and ensure data quality.
Bridges analytics and engineering: build ETL processes, write Python/SQL scripts, automate data pipelines, and create dashboards. Core tech includes Python, SQL, and databases like PostgreSQL or ClickHouse.
Lead cybersecurity architecture for a major rail project, designing secure OT systems, conducting risk assessments, and implementing controls to ensure compliance with standards like ISA/IEC 62443.
FEQ427R422 As a Sr.Manager, Field Engineering, you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts for the Korean market. Your experience partnering with the sales…
Build and scale a cloud-native data platform for open-source intelligence, using Java/Spring and AWS to power AI/ML enrichment, ETL pipelines, and data discovery for the Intelligence Community.
You will partner with faculty to build analytics solutions for student learning, including ETL scripts, AI models, and Power BI dashboards in a data lake environment.
Design and maintain ETL/ELT data pipelines using Python and PySpark, develop lakehouse architectures, and deploy containerized solutions on Kubernetes to enable data-driven decision-making.
Manage database and data lake platforms, focusing on high availability, backups, disaster recovery, and performance tuning.
GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the team that owns the data foundations, finance semantic layer, financial reporting, and AI-enabled analytics that power Databricks'…
Designs and advises on scalable MongoDB-based systems for customers, collaborating with sales teams to solve technical challenges and drive adoption of MongoDB's data platform.
Job Description Amazing Career Moments Happen Here Transforming the insurance industry is ambitious, we know. That’s why at Applied Systems India Pvt Ltd., an Applied Systems company, we’re building a team that shows…
Remote Data Engineer managing data pipelines and analytics using Python, SQL, AWS, Snowflake, and Airflow.
Design and develop scalable Azure data solutions using Databricks and PySpark. The role involves building ETL pipelines, managing Delta Lake architectures, and integrating data sources.
Data Engineer designing and delivering Microsoft Fabric and Azure data solutions, building pipelines with Python/PySpark and SQL for enterprise clients.
Owns the health, performance, security, and recoverability of on-premises Microsoft SQL Server and AWS RDS PostgreSQL platforms, along with an AWS data lake stack (S3, Glue, Athena, QuickSight). Mentors the data team and builds automation.
Supports BI and Software teams by managing Microsoft Azure infrastructure, Databricks environments, and CI/CD pipelines. Responsibilities include infrastructure automation with Terraform, monitoring, and ensuring data platform reliability.
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world — together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to…
Senior Data Engineer building AWS-based data pipelines and dashboards for a fintech lender. Role requires 3 days in Dublin office and involves ETL, Python, and SQL.
Senior Data Engineer leading ETL/ELT pipelines on AWS, ingesting API data into a data lake, and building MI dashboards with QuickSight for credit risk analysis.
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