Top Data Engineer Jobs in Chicago, IL
Seeking a Manager for Data Classification & Retention to lead the deployment of data classification labeling globally and implement a strategy for data retention, deletion, and destruction. Responsibilities include overseeing daily operations, managing data classification technologies, engaging with business units, and ensuring compliance with data retention schedule.
The Senior Manager of Data Classification and Retention at McDonald's Cybersecurity Data Security team is responsible for overseeing the deployment of data classification labeling globally and defining a strategy for proper data retention, deletion, and destruction. They lead the operations team, drive implementation of data classification labels, compile strategy for compliance, maintain data classification services strategy, oversee engagement with Business Units, and ensure alignment with company goals.
Transforming traditional relational and complex multimodal data sources into pipelines for downstream systems. Designing and implementing scalable data processing systems, educating teams, and mentoring junior members. Working with AI, Platform, and Business Analytics teams to address ML/AI needs.
Build automated workflows for data extraction and conversion, configure data pipelines, develop dashboards and reports, assess technologies for analyses, escalate issues, and collaborate with teams for Compliance programs.
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Lead a team of data scientists and engineers in developing and implementing data strategies aligned with business objectives. Oversee the transformation of on-prem data warehouse to a modern datalake on Google BigQuery. Drive discussions on data governance, quality, and security standards.
The Senior Data Operations Specialist at ServiceNow plays a significant role in evolving data services and capabilities for AI and Machine Learning solutions, providing support to engineering teams, and ensuring superior service in handling customer datasets.
The Senior Associate Data Engineer at Discover is responsible for designing, developing, maintaining, and testing data solutions using various technologies and tools. They actively contribute to design decisions, participate in agile ceremonies, troubleshoot production issues, and execute test scenarios. Minimum qualifications include a Bachelor's Degree in Computer Science and 1+ years of experience in Data Platform Administration/Engineering.
Lead a team of Data Scientists, apply expertise in quantitative analysis and machine learning, capture business requirements, develop data & machine learning roadmap, lead development of predictive algorithms, analyze outputs from computer vision and machine learning, work with cloud partners on AutoML solutions.
As a Senior Consultant at Analytics8, you will work with a variety of companies, managing and implementing BI and DWH projects. You will be responsible for managing small projects, gathering customer requirements, mentoring junior consultants, and contributing to upsell opportunities. The role requires advanced knowledge of BI/DW development methodologies, SQL, and experience with data engineering and analytics tools. Strong communication and project management skills are essential.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, standardizing business metrics, building data pipelines, and creating dashboards to help teams make informed decisions. You will work with a highly data-driven team to analyze large datasets and drive business impact.
Seeking a Senior Database Engineer with expertise in database infrastructure at scale, performance tuning, and cloud offerings. Responsibilities include leading initiatives to enhance database performance and reliability, conducting root cause analysis, and collaborating with teams.
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