Top Data Engineer Jobs in Madison, WI
As a Senior AI/ML Data Scientist at ServiceNow, you will be responsible for understanding the Security data landscape, identifying AI use-cases, applying advanced ML algorithms in Snowflake, deploying machine learning models into production systems, and collaborating with cross-functional teams to expand AI usage on the ServiceNow platform.
The TECH Program Associate in Data Platforms at Spectrum participates in a rotational program gaining foundational technical experience in data science, modeling, statistics, data engineering, and data visualization. Associates work on three different data teams, completing projects and presenting work at the end of each rotation. Responsibilities include developing data products, writing code for deployment, analyzing business requirements, collaborating on projects, troubleshooting application issues, and partnering with security teams for security remediation.
The Microsoft Solutions Architect at CDW works with designated accounts to understand clients' business requirements for Data & Analytics solutions, create proposals, collaborate with other experts, and oversee solution delivery while maximizing profit.
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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.
Senior Data Engineer role in the Finance team at Instacart, responsible for building and maintaining critical data integration pipelines for financial data modeling and reporting.
The Lead Analytics Engineer will spearhead the development and optimization of data analytics frameworks and infrastructure. Responsibilities include leadership, strategic planning, project management, technical implementation, collaboration, and continuous improvement. Qualifications include expertise in SQL, Snowflake, ETL, Airflow, and Dagster, with programming skills in Python and experience with GIT.
Lead the design and implementation of cloud-based data warehouses, optimize data-driven dashboards and reports, administer and optimize high-availability cloud databases, mentor junior team members, and collaborate with cross-functional teams.
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.
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The Privacy Analyst at Grammarly will manage vendor privacy review processes, perform data protection impact assessments, draft playbooks, participate in privacy controls management audits, lead privacy training, and develop privacy programs. This role involves cross-functional collaboration and reporting to the Head of Product, Privacy, and Policy.
Building pipelines to integrate various source systems into the data platform, analyzing source system data, supporting cloud-based architecture development, and applying healthcare domain knowledge.
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