Top Data Engineer Jobs in Spokane, WA
As a Senior Data Engineer at Two Barrels, you will be responsible for managing data infrastructure, building ETL pipelines, improving database design, and ensuring data consistency. You will collaborate with Data Analysts, identify process improvements, and stay updated with cloud technologies. A Bachelor's degree in computer science or a related field, along with 4+ years of experience in a data engineer role, is required. Advanced SQL knowledge and experience with PostgreSQL are also required.
Lead the implementation of Master Data Management solutions using Oracle technologies. Collaborate with teams to address various business requirements and drive success through data and analytics. Provide thought leadership and guidance in MDM implementations across different sectors.
As a Data Engineer at Arcadia, you will play a crucial role in developing solution architecture and data pipelines to automate the flow of data between client Claim and Clinical data platforms and the analytic health solution platform. Your work will drive the long-term partnership between Arcadia and its customers by leveraging new age technologies and best practices.
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GoodRx is seeking a Sr. Data Engineer to collaborate with teams across the organization to build data pipelines, lead projects, and architect cloud-based solutions. The role involves working with big data technologies, AWS services, and data warehouse platforms to guide business decisions through data analysis.
Seeking an experienced professional to lead data migration initiatives, develop and execute data modernization roadmaps, drive innovation, optimize resource allocation, ensure fiscal responsibility, and champion stakeholder engagement. Responsibilities include overseeing transformation of legacy data systems, enhancing data quality and accessibility, and fostering innovation through DataOps principles.
Build robust data solutions for transferring data between applications and data warehouse. Ensure data quality and availability, develop data models and pipelines, and collaborate with teams to deliver solutions.
Design and develop robust and scalable data models for analytical stakeholders. Implement best practices around Data Governance, Data Quality, and pipeline optimization. Lead efforts to build curated data sets for reporting and analytics. Collaborate with data engineers and platform teams to create analytics pipelines. Train users on BI tools and dashboards. Partner with analytics squads on the analytics roadmap.
As a Data Engineer at Consensus Cloud Solutions, you will be responsible for implementing and maintaining data infrastructure and pipelines to support data acquisition and reporting initiatives. You will collaborate with cross-functional teams to develop scalable data pipelines and provide actionable insights for data-driven decision-making processes.
Experienced Data Engineer responsible for designing, building, and maintaining data pipelines and infrastructure to support data science and machine learning initiatives. Collaborates with data scientists and business stakeholders to engineer features for advanced analytical models. Develops robust data pipelines, ensures data quality, and supports development environments while adhering to data governance standards. Mentors and guides junior data engineers.
The Analytics Engineer will be responsible for developing and maintaining data infrastructure, ensuring data integrity, and enabling data-driven decision-making. They will work with ETL tools, data warehouse management, data transformation, event tracking, and business intelligence tools.
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