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Top Hybrid Data Engineer Jobs in Chicago, IL

Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Data Scientist will develop machine learning models, work with cross-functional teams, and leverage advanced technologies to derive insights from data.
Top Skills: AWSCondaH2OPythonSparkSQL
Reposted 2 Days Ago
Easy Apply
Hybrid
Chicago, IL, USA
Easy Apply
Senior level
Senior level
Fintech • Information Technology • Other • Software • Financial Services
As a Senior Data Engineer, you will design and maintain data architecture, ensure data quality, and develop ETL pipelines to support trading performance.
Top Skills: BigQueryFlinkKafkaKinesisPulsarPythonSparkSQL
3 Days Ago
Hybrid
Chicago, IL, USA
157K-262K Annually
Senior level
157K-262K Annually
Senior level
eCommerce • Information Technology • Retail • Industrial
The role involves designing ML solutions for product discovery, leveraging generative AI technologies to enhance customer experiences, while collaborating with teams to integrate models into platforms and drive strategic objectives.
Top Skills: AirflowBash ScriptingDeep LearningDockerJaxKerasKubernetesLarge Language ModelsMachine Learning LibrariesPyTorchRetrieval Augmented GenerationVector Retrieval

Featured Jobs

3 Days Ago
Easy Apply
Remote
Hybrid
10 Locations
Easy Apply
Senior level
Senior level
Fintech • HR Tech
The Principal Applied AI Scientist will design, build, and evaluate AI products, collaborating closely with product engineers and managing the AI development lifecycle.
Top Skills: Agentic Ai FrameworksLlmsMulti-Agent FrameworksPython
3 Days Ago
Hybrid
3 Locations
155K-171K Annually
Mid level
155K-171K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The consultant will collaborate with teams to implement technology solutions in Data Clean Rooms and Salesforce Data Cloud, translating client challenges into technical designs, and mentoring junior members while managing projects.
Top Skills: Cloud PlatformsData AnalyticsData Clean RoomsData ManagementData WarehousingETLSalesforce Data CloudSQL
4 Days Ago
Hybrid
Chicago, IL, USA
122K-188K Annually
Senior level
122K-188K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Legal Tech • Productivity • Software
The Agile Data Governance Lead will implement data governance strategies, ensure compliance, enhance data quality, and lead cross-functional teams utilizing agile methodologies.
Top Skills: Agile MethodologiesData Governance ToolsData Management Technologies
4 Days Ago
Hybrid
Chicago, IL, USA
115K-258K Annually
Senior level
115K-258K Annually
Senior level
Enterprise Web • Fintech • Financial Services
Lead Tableau function and data strategy for Marketing Intelligence. Collaborate with teams to develop analytics reporting and optimize data processes, mentoring junior analysts.
Top Skills: DatabricksSQLTableau
Reposted 9 Days Ago
Remote
Hybrid
67 Locations
100K-232K Annually
Senior level
100K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Data Scientist Manager at PwC, you will lead a data analytics team, utilize advanced techniques to drive insights, manage AI solutions development, and mentor team members while ensuring quality deliverables for clients.
Top Skills: AWSAzureGitGCPKerasLangchainNltkNoSQLPandasPythonScikit-LearnSemantic KernelSQL
11 Days Ago
Hybrid
Chicago, IL, USA
130K-182K Annually
Senior level
130K-182K Annually
Senior level
Cloud • Fintech • Machine Learning • Analytics • Financial Services
The Principal Data Science role involves leading Finance Analytics initiatives, applying advanced analytics and machine learning to improve decision-making for home and personal loans, and collaborating with cross-functional teams to deliver insights and performance tracking.
Top Skills: PythonSQL
Reposted 18 Days Ago
Hybrid
2 Locations
88K-145K Annually
Mid level
88K-145K Annually
Mid level
eCommerce • Food • Sales • Software
The Data Engineer II enhances big data infrastructure, develops automated campaigns, monitors data pipelines, and collaborates with teams for data processing and analytics.
Top Skills: Aws EmrAws S3AzkabanHivePrestoPythonSparkSQL
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