Top Tech Jobs & Startup Jobs in Chicago, IL

Lead tax engagements for privately held businesses and their owners, manage multiple client accounts, review business, personal, and trust tax returns, mentor junior staff, and provide high-level client service. The role requires strong public accounting experience, technical tax expertise, relationship-building skills, and the ability to balance leadership with hands-on work. Remote and hybrid options are available.

Own the US employee journey from candidate interaction through 90-day onboarding. Manage onboarding logistics, HRIS data integrity, payroll coordination, employment compliance, and documentation across all states. Lead full-cycle recruiting for 2–4 critical roles, partner with hiring managers, improve interviewing rigor, guide debriefs, and use market data to shape hiring strategy in a remote-first environment.

Designs and maintains automated and manual testing strategies, test suites, and test plans. Identifies and tracks defects, performs API, load, and performance testing, and contributes to feature development and bug fixes. Provides testing guidance, participates in code reviews and planning, supports release quality decisions, and promotes software quality across cross-functional teams.

Build and optimize Customer 360 data models, ELT pipelines, semantic layers, and identity resolution frameworks in BigQuery. Develop Tableau dashboards for customer acquisition, retention, churn, product adoption, and deposits. Sync behavioral data with marketing and CRM platforms such as Braze, implement data quality and observability controls, and partner with Marketing, Product, and business leaders to turn customer analytics into growth initiatives.

Design, build, and own production-grade platform subsystems for Stacklok Enterprise, writing Go software that runs on customer Kubernetes environments. Collaborate with leadership, mentor engineers, support customer onboarding and troubleshooting, contribute to the open-source ToolHive project, and translate customer feedback into product improvements. The role also involves improving engineering workflows through AI-assisted development and owning platform areas from design through ongoing production operations.

Leads the architecture, development, and production operation of complex data pipelines and platforms. Resolves scalability, data quality, reliability, and architectural challenges; evaluates data technologies; mentors engineers; establishes engineering standards; partners with product, analytics, and operations teams; communicates technical trade-offs; and conducts proofs of concept to guide platform strategy.

Generate district-level sales pipeline through state-specific K-12 market research, prospect identification, outbound email and call campaigns, discovery meeting booking, CRM management, and conference follow-up. The role partners with Sales and Marketing to develop outreach strategies, maintain accurate HubSpot data, support Account Executives with prospect intelligence, and improve campaign performance. It suits an early-career, self-directed professional comfortable with high-volume prospecting and performance-based goals.

Design and architect secure, scalable healthcare data systems; create core data models using TUVA, OMOP, and FHIR; build production data pipelines and EMR integrations; establish data quality and governance; optimize performance; deploy cloud infrastructure; and ensure HIPAA and HITRUST compliance. The role requires expert SQL and Python or Scala skills, advanced data warehouse and big-data experience, and at least eight years in data science or data engineering.

Prospect and qualify potential US customers through cold calling, email, social media, networking, and other outbound channels. Explain SOCRadar’s cybersecurity solutions, build relationships with decision-makers, manage prospecting activity and pipeline records, collaborate with sales teams, monitor cybersecurity market trends, and meet lead-generation and qualified-opportunity targets.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake; architect reusable data assets, governance, and SaaS metrics; build AI-enabled data foundations and LLM workflows; integrate analytics into operational tools and partner cross-functionally to productionize AI-driven use cases.