Top Hybrid Data Engineer Jobs in Chicago, IL

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.

The Cybersecurity Engineer will be responsible for facilitating process engineering, risk remediation, and operational risk mitigation in a high-velocity culture. Key activities include managing HSM's, designing and implementing changes to HSM infrastructure, monitoring and troubleshooting, encryption key management, and collaborating with cybersecurity architects. This role will ensure compliance with regulatory and risk requirements.

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.

The Data Specialist role involves working with devops, data science, and support teams to develop and implement data importing, integration, analysis, and reporting. Responsibilities include building ETL workflows, processing client data requests, and collaborating with data science team. 1+ year of experience with relational databases, ETL workflows, data mining, building reports, and moderate SQL proficiency are required.

As a Data Orchestration Lead, you will be responsible for implementing cutting-edge Data Orchestration solutions, leveraging PEGA and integrating with S4 systems. Your role involves planning, executing initiatives, managing strategy and technology capabilities, and ensuring seamless integration of data processes across teams. You will also be responsible for cost control, product fit for purpose, and promoting new solutions delivery. This role requires a 4-Year Degree in Data Management or IT with 10+ years of experience in Data Management/Data transformation, 5+ years in Agile, and experience in partnering with business functions on transformations.

The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data. They lead cross-functional teams, define data architecture roadmap, ensure data solutions align with business requirements and policies, and choose toolsets for data storage. The role involves translating business requirements into data models, designing data pipelines, and leveraging cloud tech stack.

Design, develop and deliver data products to production, solve technical problems, define and extend data architecture standards, mentor team members, propose ideas for improvement, implement ETL processes, work closely with Data Scientists and Product Managers.