Top Senior Level Data Engineer Jobs in Chicago, IL
Manage SAP SuccessFactors data migration and integration implementations using SAP Business Technology Platform. Provide specialized SAP SuccessFactors product and implementation solutions to clients for achieving defined business outcomes.
Senior Manager role in SAP Human Capital practice focused on delivering business-led, technology-enabled change for clients through SAP applications. Responsibilities include leading data migration implementations, full life-cycle implementations of SAP SuccessFactors, and providing specialized consultation to achieve business outcomes.
Seeking a Senior Data Engineer passionate about testing data, enhancing datasets, and building data products. Responsibilities include working with SQL, Python, ETL/ELT pipelines, and collaborating on development activities. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and familiarity with continuous integration. Bachelor's degree in a technical field preferred. Company focuses on free access to information with an emphasis on privacy and security in advertising and media measurement optimization.
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.
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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.
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.
Lead the Data Management Transformation for Mondelēz International, focusing on master data transformation for the US market. Collaborate with business units to define and execute master data strategies. Provide leadership on resourcing, budgeting, data governance, and stakeholder engagement. Requires 7+ years of data management experience with 3 years in a transformation leadership role.
Lead experimental research projects to optimize large language models, innovate on data curation strategies, publish impactful findings, and continuously refine AI models at ServiceNow's Foundation Models Lab.
The Senior Director, Data Strategy at Bounteous will be responsible for leading cross-functional engagements, assessing client data maturity, providing data advancement recommendations, and building a team of trusted advisors. They must have 8+ years of relevant experience in digital, consulting, or analytics.
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.
Own the design, development, and administration of advanced analytics dashboards and reporting and business intelligence tools. Collaborate with stakeholders and provide guidance for developing new datasets and analyses. Solve new and interesting problems.
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