Top Tech Jobs & Startup Jobs in Chicago, IL

Design and implement Infrastructure as Code and automation (Terraform, Bicep, ARM, CloudFormation). Build reusable modules, automate provisioning, and develop pipelines (Azure DevOps, GitHub Actions, Jenkins). Script in Python, PowerShell, Bash and use Ansible. Manage hybrid infrastructure across Azure, AWS, VMware and Windows Server, ensuring HA, DR, capacity planning and lifecycle. Enforce security baselines, Zero Trust, identity (Azure AD/Entra/AD), patching, vulnerability management, and compliance (SOC1/2, SOX, HIPAA, PCI, ISO27001).

Lead strategy, planning, execution, and optimization of paid digital media across search, social, display, video, programmatic, and emerging channels. Manage large media budgets, vendor/client relationships, analytics and reporting, and mentor a cross-functional paid media team to meet acquisition, retention, and revenue KPIs.

Senior Business Analyst for insurance data and systems: elicit and document business/functional requirements, create BRDs/FRDs and user stories, perform SQL-based data analysis and source-to-target mappings, support testing (SIT/UAT), collaborate with stakeholders, data engineers, QA and delivery teams across end-to-end Agile project lifecycle.

Lead and own end-to-end delivery of enterprise Data & AI programs, define data strategy and architecture (lakehouse/warehouse), drive modernization, governance, data quality, metadata/lineage, and AI adoption. Manage client relationships, account growth, program budgets, delivery teams, and stakeholder communications to ensure on-time, on-budget outcomes.

Lead technical delivery for Life Insurance and Annuity clients: design solutions and architectures, produce technical design docs, mentor distributed teams, drive code quality and integrations (APIs), maintain mainframe and .NET codebases (COBOL, C#, DB2/SQL), and leverage AI tools (GitHub Copilot, Claude Code, custom agents) for automation and efficiency.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design, build, and operationalize scalable analytics engineering solutions on Databricks and modern cloud platforms. Implement metrics-as-code and semantic layers, create automated pipelines, enable product measurement and experimentation, define cohorts and KPIs, improve data quality and governance, and lead engineering best practices and stakeholder delivery for data products.

Lead data engineering teams to design, build, and maintain scalable cloud-native data pipelines, data platforms, and data products using Snowflake, Databricks, Airflow, and modern architectures. Optimize ETL/ELT, SQL, and transformations for analytics, reporting, and AI use cases; ensure data quality, governance, observability, and stakeholder alignment. Produce documentation, runbooks, and present technical solutions to business and technical audiences.

Analyze claim liability and identify subrogation opportunities. Develop, pursue, and recover claims via negotiation, arbitration, collections or outside counsel. Handle high-volume inbound and outbound calls, document interactions, and collaborate to maximize recoveries.

Lead design and operationalization of enterprise data governance for insurance data across cloud and on-premises estates. Define operating models, stewardship, policies, data standards, quality frameworks, metadata/lineage, tooling, and MDM. Partner with business, actuarial, underwriting, claims, compliance, and tech teams to improve data trust, compliance, and reporting.