Top Data Engineer Jobs 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.
Senior Machine Learning Engineer focused on modeling and measurement within Square's GTM organization. Responsible for developing ML models and algorithms for strategic decision-making. Collaborate with various stakeholders to enhance Square's attribution system and drive growth.
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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.
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.
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.
Seeking a Senior Machine Learning Engineer to apply machine learning to solve various problems, build infrastructure, and shape team development. Responsibilities include delivering AI-powered products, conducting data analysis, building ML models, and challenging conventional thinking. Must have 6+ years of experience in data science/machine learning, experience with AWS services, and proficiency in writing SQL queries.
The Square Banking team is looking for a Staff Data Engineer to help build a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building datasets, addressing data quality issues, and collaborating with cross-functional teams.
Lead the development of Large Language Models for Enterprise Language Generation to power AI experiences on the NOW platform. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, and influence leadership on AI strategies and trends.
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