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Top Entry Level Data Management Jobs in Chicago, IL
Biotech
Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.
Top Skills:
Ai AgentsData LineageData ModelingDatabricksGenaiGitInformatica CdgcInformatica Data MarketplaceKnowledge GraphsLlmsOntologiesOwlPrompt EngineeringPysparkPythonRdfRest ApisSemantic DataSparqlSQL
Digital Media
Leads server-side tagging, marketing pixel, and CAPI implementations for clients. Responsibilities include architecture, QA, troubleshooting, UAT, implementation documentation, data quality support, stakeholder training, and coordination with client development teams. Serves as the technical advisor for Tealium, Adobe Experience Platform Tags, Google Tag Manager, and related tracking infrastructure. The role also manages client relationships, supports measurement strategy, and develops one to two direct reports.
Top Skills:
Adobe Experience Platform TagsAWSConversions Api (Capi)CSSData LayersGoogle Enhanced ConversionsGoogle Tag ManagerHTMLHubspotJavaScriptMeta CapiServer-Side TaggingShopifyTealium IqWoocommerce
Edtech
Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.
Top Skills:
AIConfluenceDbtFivetranHubspotJIRALlmsLookerNetSuiteSalesforceSnowflakeZendesk
Big Data • Food • Mobile • Payments
Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.
Top Skills:
AIAutomationData CatalogsSemantic LayersSQL
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