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Data Engineer
Lead Data Engineer builds and maintains enterprise-scale data platforms using Azure Databricks and Microsoft Fabric to support analytics, AI, and ML in a Federal Government environment.
Senior Data Engineer: Rating & Limit Modeling
Senior Data Engineer at Nordea Bank Norge ASA in Poland designing backend solutions, driving data modeling, collaborating with stakeholders, and ensuring data quality. Core technologies include SQL and data mapping.
GCP Data Engineer: Scale Pipelines & BigQuery
Data Engineer building and maintaining scalable GCP data pipelines, focusing on BigQuery modeling, performance tuning, and orchestrating workflows with Airflow/Cloud Composer and CI/CD tools.
Middle Data Engineer
The Middle Data Engineer will build and maintain scalable AWS-based data lakehouse pipelines for an e-commerce client. The role involves developing data models, managing data quality, and collaborating with cross-functional teams using Python, PySpark, and various AWS services.
Senior Data Engineer
This Senior Data Engineer role involves building and maintaining large-scale ETL/ELT pipelines for advertising analytics using Snowflake and AWS. The engineer will own data architecture, mentor junior staff, and work with real-time data processing to support AI-driven products.
Data Analyst (Mid-Senior level)
Build dashboards and reports in Power BI/Tableau, analyze datasets, and translate business needs into scalable BI solutions for a leading ASEAN AI and data engineering company.
Salesforce Developer
A Salesforce Developer designs, develops, tests, and deploys scalable Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, SOQL/SOSL, and other Salesforce platform capabilities, working with stakeholders to deliver high-quality enhancements and integrations.
Microsoft Fabric Data Engineer
Designs and builds scalable cloud-native data pipelines on Microsoft Azure, integrating enterprise systems to create unified data ecosystems for analytics and AI.
Senior Data Engineer
The Senior Data Engineer designs, develops, and maintains scalable data pipelines and models using Databricks and AWS technologies. This role ensures high-performance data integration and platform reliability to support analytics and AI/ML initiatives within a pharmaceutical services environment.
Lead Data Engineer x 2
Hands-on Lead Data Engineer designing and building AWS and Snowflake data pipelines, data models, and cloud architecture to support enterprise analytics and AI initiatives.
Data Engineer (m/f/d)
Data Engineer at Statista works with analysts and stakeholders to design, build, and improve data workflows, backend services, data pipelines, and AI agents. Core technologies include Python, SQL, Git, and experience with AI-powered applications using LLMs and modern AI APIs.
Software Engineer II
Builds and scales a real-time formative assessment platform (Pear) for K-12 educators, combining React-based classroom interfaces with TypeScript backend services, OpenSearch semantic search, and AI-driven insights to enable live/asynchronous learning analytics.
Analytics Engineer, Payments Intelligence
As an Analytics Engineer on Vinted’s Payments Intelligence team, you design, build, and maintain data pipelines, models, and reporting systems for the new Vinted Pay payment service and other payments-related projects, using SQL and data engineering tools like DBT, BigQuery, and Airflow.
Senior Financial Analyst
Inland Empire Utilities Agency Senior Financial Analyst SALARY $5,108.04 - $6,223.54 Biweekly $11,067.42 - $13,484.35 Monthly $132,809.04 - $161,812.14 Annually LOCATION 6075 Kimball Ave., Chino CA 91708, CA JOB TYPE…
Senior Data Governance Consultant-CEG000371
Senior Data Governance Consultant designs and implements Data Governance strategies, advises on policies/quality/compliance, and leads projects. Core technologies include Collibra, Microsoft Purview, and Atlan.
Digital Insurance Member - Data Analytics
Manages offline data, writes SQL queries, maintains Power BI dashboards, handles attribution models, and designs measurement architectures using SQL, Power BI, GTM, and GA4.