Top Data Engineer Jobs in Chicago, IL
Senior Software Engineer role at Atlassian's Central AI team, responsible for building and maintaining core infrastructure for machine learning models and pipelines. Involves solving complex infrastructure challenges, leading projects, and collaborating with internal teams. Required skills include Java, Kotlin, Python, AWS, Apache Spark, and basic understanding of Machine Learning projects lifecycle.
Design equitable, explainable, and competitive compensation programs at Atlassian. Base pay ranging from $165,500 to $265,800 depending on skills, expertise, or experience. Eligible for benefits, bonuses, commissions, and equity.
Senior Software Engineer in the Central AI team at Atlassian responsible for building core infrastructure for machine learning engineers and data scientists. Lead projects from technical design to launch and collaborate with internal teams. Requires 5+ years of software development experience.
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.
As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale ML systems, collaborate with cross-functional teams, and impact millions of users with personalized experiences.
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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.
Execute Business Intelligence Solutions & Insights initiatives to uncover trends, deduce insights, solve business problems, and drive long-term business results. Responsibilities include driving the business analytics agenda, partnering with System Analyst/Data Engineer, developing data solutions, performing root cause analysis, and maintaining analytical tools.
Machine Learning Engineer role at Cash App focusing on building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The role involves experimenting with state-of-the-art algorithms, using NLP for contextual inquiries, and integrating ML solutions for evaluating customer risks.
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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.
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