Top Remote Data Engineer Jobs in Chicago, IL
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.
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.
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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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As a Consultant on the Data Integration team, you will be implementing our software and partnering with key team members at health systems. Responsibilities include understanding and communicating integration specifications, solving complex problems using SQL and Excel, gaining a deeper understanding of data types and source systems, and collaborating with clients to implement best practices in healthcare finance and clinical data.
Lead the Products & Technology Risk and Quality team within PwC's One Firm Risk Organization, focusing on technology and data risks, regulatory compliance, and risk management. Responsible for developing, interpreting, and monitoring risk management policies and facilitating client engagement teams in assessing and managing risks effectively.
The Sr. Data Engineer at Inspira Financial empowers business leaders to make decisions and drive outcomes by delivering data assets efficiently and securely in a cloud enterprise environment. Responsibilities include designing data models, managing enterprise data models, implementing databases and reporting, developing data cloud services, and supporting data governance initiatives using tools like Python, SQL, AWS, Azure, and Snowflake.
The Operations Data Analytics Senior Associate is responsible for supporting analytics workstreams on critical cross-functional projects within global Operations, providing insights for business decisions, and developing data-driven operational improvement projects. This role involves data clean-up, analysis, trend identification, recommendation-making, and collaboration with stakeholders.
Leading a team of data and infrastructure engineers in the overall delivery of data solutions for advanced data science and analytics. Working on transforming transportation by analyzing massive data sets and collaborating with diverse product teams to create innovative products.
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