Top Hybrid Data Engineer Jobs in Chicago, IL
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.
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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.
Lead multiple software engineering teams at a financial institution and guide them in solving business problems through innovation and engineering practices. Manage day-to-day implementation activities, stakeholder relationships, and compliance standards. Create a culture of diversity and inclusion within the teams.
The IT Business Analysis, Sr Specialist is responsible for formulating and defining system scope and objectives based on user needs and business requirements. They lead project teams, collaborate with stakeholders, and develop strategies for project deliverables. The position requires a solid understanding of the insurance industry, business operations, and system development life cycle. This is a hybrid position located in Chicago, IL.
A Staff Consultant/Engineer with deep technical expertise in implementing BI and DWH projects. They are proficient at managing small projects and have the ability to gain customer confidence. They are responsible for conducting evaluations, developing testing strategies, integrating source systems, managing client expectations, and producing high-quality project documentation. Additionally, they are involved in training and mentoring junior consultants.
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Lead the Data Quality Team, define and manage technical strategy, build and lead a team of data quality analysts, and ensure data accuracy and integrity. Collaborate with trading and technical teams to maintain data quality for trading decisions.
Design, build, and maintain PostgreSQL and MySQL infrastructure for a global trading platform. Apply infrastructure-as-code tools and services, troubleshoot performance issues, and collaborate with stakeholders. Requires 5+ years of experience in database management and infrastructure engineering.
Looking for a Snowflake Data Architect to lead the development of Enterprise Data and Analytics Platforms, optimize data models, oversee data pipelines, and provide input on implementation methodologies. Must have expertise in Snowflake, AWS, data security, data governance, and cloud technologies.
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