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We are seeking a Data Support Engineer to serve as the key operational link between our production data architecture and our business clients/stakeholders. In this role, you will be responsible for active ETL build…
The Senior Data Engineer will build and optimize scalable data pipelines, infrastructure, and models to support internal analytics and customer-facing data products. The role involves leveraging technologies like SQL, Python, dbt, and Snowflake to deliver trusted metrics and integrate AI-driven analytics.
Designs and maintains IT automation workflows for Coinbase’s internal tools, building scalable bots and integrations that streamline employee operations using platforms like n8n, Airflow, and Jira.
Senior Software Engineer building and maintaining distributed, event-driven financial systems for a leading AI-powered lending marketplace, using cloud technologies like AWS.
**Take the lead in driving innovation** At Volvo Cars, we are committed to advancing safety, sustainability and electrification. To achieve our ambitious goals, we are looking for forward-thinking individuals who can…
The Chief Architect will lead a Databricks practice by designing enterprise data solutions, managing large-scale cloud migrations, and driving presales activities. This hands-on role requires deep expertise in Spark, Lakehouse architecture, and modern data engineering tools to mentor teams and deliver high-impact AI and data platforms.
6-month contract Senior Data Engineer leading migration from legacy ETL tools (Informatica, SSIS, SQL Server) to a cloud-native ELT stack on AWS, Python, Airflow, DBT, and Snowflake at a multifamily real estate company.
Data Engineer on a 12-month contract building and scaling data pipelines using AWS, Redshift, EMR, Airflow, Kafka, and Python at WEBTOON Entertainment/Wattpad in Toronto.
The Data Engineer will design, build, and maintain scalable data infrastructure and ETL pipelines to support data science and analytical needs. This role requires proficiency in Python, PySpark, and AWS technologies within a hybrid work environment in Toronto.
The Principal Data Engineer will lead the architecture and design of cloud-based data pipelines and AI-enhanced data solutions using Java, Snowflake, Databricks, and AWS. This role involves mentoring engineering teams and integrating Agentic AI frameworks into data workflows to drive platform modernization.
The Principal Data Engineer will lead the design and architecture of cloud-based data pipelines and AI-enhanced data solutions using Java, Snowflake, Databricks, and AWS. The role involves mentoring engineers, driving platform modernization, and integrating Agentic AI frameworks into data workflows.
The Data Engineer will design and develop scalable real-time and batch data pipelines to support eBay's global marketplace. The role involves working with technologies like Kafka, Spark, Flink, Databricks, and Airflow to build robust data infrastructure and improve data quality.
Lead a new Taiwan hardware engineering hub to design validation platforms and rack-scale systems for AI connectivity, while partnering with OEMs across Asia to integrate Astera Labs’ silicon into their products.
Lead a hardware engineering team at a NASDAQ-listed AI connectivity company, designing high-speed cables, modules, and rack-scale systems while enabling OEM customers to integrate Astera Labs' silicon into their products.
iCapital is looking to hire an experienced Python Developer with expertise in web scraping, automated portal interactions, and cloud-native deployment using AWS. The ideal candidate will have hands-on experience…
The Data Engineer will design, develop, and maintain ETL/ELT data pipelines on Google Cloud Platform. The role involves working with technologies like Python, Spark, BigQuery, and Airflow to build scalable data architectures.
Data Engineer building and maintaining ETL/ELT pipelines, data warehouses, and lightweight data apps in a hybrid NYC role using SQL, Python, and cloud data platforms.
The Lead Data Engineer will design and operate scalable data pipelines and products while establishing engineering standards for DataOps, testing, and observability. The role involves partnering with the Data Architect to drive technical quality and mentoring team members within a cloud-based Azure environment.
Designs and maintains recovery data models and scalable pipelines for Nordea Bank, ensuring reliability, governance, and AI-driven enhancements while collaborating with stakeholders to translate business needs into technical solutions.
Data Engineer developing data-based solutions for customer service and experience projects using Databricks, Spark, Python, and SQL in a hybrid setup in the Helsinki region.
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