Top Data Engineer Jobs in Chicago, IL
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.
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.
Featured Jobs
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.
 (1).png){kind=avatar}
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.
Senior Data Engineer role at Kalderos involving data modeling, mentoring junior data engineers, collaborating with teams, building data transformations, ETL jobs, and tools for efficiency. Requires advanced knowledge of SQL and Python, experience with DBT and Snowflake, cloud native infrastructure, and healthcare industry experience.
Top Companies Hiring Data + Analytics Roles
See All
.jpeg)
All Filters
No Results
No Results
