Top Senior Level Data Engineer Jobs in Minneapolis, MN

As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.

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.

The Data Engineer III is responsible for architecting and maintaining scalable tooling and infrastructure for data management, including building automated data pipelines and managing data storage. The role involves collaborating with Data Scientists for model improvements and ensuring data quality and availability, while also coaching teams on data-driven decision making.

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.

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 develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.

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.