Top Data Engineer Jobs in Portland, OR
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
As a Senior Data Engineer at Flex, you will design and maintain high-quality data infrastructure services, create scalable data pipelines, manage a secure data warehouse, and collaborate closely with the Analytics team. Your role will involve enhancing data operations and supporting financial products with modern data solutions.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
As a Principal Data Engineer, you will lead data engineering initiatives, architect integrated data platforms, maintain ETL pipelines, and utilize AWS services. Collaborating with various teams, you will ensure data efficiency and regulatory compliance while mentoring fellow engineers and optimizing data processes using advanced statistical methods and technologies like Docker, Snowflake, and Spark.
The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.
The Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.
The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
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The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.
The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.
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