wagey.ggwagey.ggv1.0-e93b95d-4-May
Browse Tech JobsCompaniesFeaturesPricingFAQs
Log InGet Started Free
Jobs/Data Engineer Role/IMO Health - Sr. Data Engineer
Pro members applied to this job 36 hours before you saw itGet Pro ›
IMO Health

IMO Health - Sr. Data Engineer

United States, Rosemont, IL, Chicago$130k - $180k+ Equity3d ago
In OfficeSeniorNACloud ComputingData AnalyticsArtificial IntelligenceData EngineerHealth Information ManagerSolutions ArchitectDocumentationLearning & DevelopmentReportingPythonSQL

Upload My Resume

Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT

Apply in One Click
Apply in One Click

Requirements

• Bachelor’s degree in a relevant technical field and 5+ years of professional experience, or 7+ years of equivalent hands-on experience • Demonstrated experience building and supporting end-to-end data platforms in a production environment • Strong programming experience in Python and SQL, with an engineering mindset toward maintainability and testing • Deep experience with cloud-based data platforms, especially: • AWS (e.g., S3, EC2, RDS, IAM) • Databricks / Spark-based processing • Strong SQL skills, including complex transformations and performance-aware query design • Experience supporting data visualization use cases by delivering datasets, APIs, and data models for dashboards and BI tools • Hands-on experience with data orchestration frameworks (e.g., Airflow or equivalent) • Experience designing and optimizing data models for analytics, reporting, and downstream applications • Familiarity with CI/CD practices and infrastructure-as-code (e.g., Git, Terraform) • Comfort working with large, complex, and evolving datasets, including managing schema change and metadata • Strong analytical, debugging, and root-cause analysis skills • Clear written and verbal communication skills, including documenting designs and tradeoffs • A proactive, ownership-oriented mindset and the ability to work effectively across teams • Experience with analytics engineering tools and patterns (e.g., dbt or similar transformation frameworks) • Familiarity with data observability, monitoring, and cost management in cloud environments • Experience supporting AI / ML data pipelines or feature engineering workflows • Exposure to streaming or near–real-time data processing concepts • Experience with healthcare, clinical, or regulated data domains • Familiarity with metadata management, data catalogs, and lineage concepts • AWS certifications (Data Engineer, Solutions Architect, or AI/ML) • Experience with Angular, Power BI, Tableau • $130,000 - $180,000 a year • Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. • IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities

• Build and operate production-grade data platforms that support IMO’s terminology-driven products, analytics, and machine learning use cases • Design, develop, and maintain data pipelines for batch and incremental processing using modern lakehouse and cloud-native patterns • Work extensively with cloud data platforms (AWS + Databricks) to ingest, transform, and serve structured and semi-structured data at scale • Support data visualization use cases across Angular applications, dashboards, and BI platforms by designing analytics-ready datasets, APIs, and aggregation layers • Model data intentionally—developing well-documented, analytics- and product-ready data models that balance usability, performance, and correctness • Collaborate directly with product, analytics, and AI teams to translate requirements into scalable technical solutions • Improve reliability, performance, and cost-efficiency of data systems through monitoring, observability, and continuous optimization • Design for data quality and trust, implementing automated checks, validation frameworks, and lineage-aware workflows • Contribute to platform evolution, helping shape standards around orchestration, data modeling, environments, and deployment • Operate in an Agile environment, taking ownership of deliverables and proactively identifying risks and opportunities • Mentor and support other engineers, leading by example in code quality, problem decomposition, and technical decision-making • Continuously learn and apply industry best practices in data engineering, analytics engineering, and AI data foundations

Get Started Free

No credit card. Takes 10 seconds.

Privacy·Terms··Contact·FAQ·Wagey on X