Job Overview
Location
Chicago
Job Type
Full-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Lead the design, development, and optimization of scalable data platforms and pipelines for a digital health platform serving employers and patients.
- • Design, build, and maintain production-grade ETL/ELT workflows for both batch and near real-time data processing using cloud-based technologies.
- • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.
- • Develop robust integrations with enterprise applications, APIs, and external data providers to ensure seamless data flow across systems.
- • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance to enhance efficiency and reduce latency.
- • Collaborate with business stakeholders, data analysts, and engineering teams to translate business requirements into scalable, reliable data solutions.
- • Implement comprehensive data quality, validation, monitoring, and observability frameworks to ensure data accuracy and trustworthiness.
- • Establish and promote best practices for data governance, lineage tracking, metadata management, and access control security.
- • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent platforms.
- • Mentor junior and mid-level data engineers, contributing to architectural decisions, technical standards, and engineering best practices.
- • Ensure all data platforms meet performance, reliability, scalability, and regulatory compliance requirements in a healthcare environment.
- • Work within a fully remote, US-based contract or B2B arrangement with a 40-hour work week.
- • Engage with cross-functional teams across time zones to deliver high-quality data infrastructure that powers business intelligence and decision-making.
- • Contribute to the evolution of the company’s data strategy by identifying opportunities for automation, cost optimization, and architectural improvement.
- • Maintain documentation and knowledge sharing practices to ensure continuity and team-wide alignment on data architecture and processes.
- • Participate in technical reviews, code audits, and system design discussions to uphold engineering excellence and operational resilience.
🎯 Requirements
- • 7+ years of experience in data engineering within cloud or hybrid environments
- • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines
- • Advanced SQL skills and proficiency with data transformation techniques
- • Strong Python programming skills for data processing and automation
- • Hands-on experience with Snowflake, including data modeling, Snowpipe, query optimization, and schema design
- • Experience migrating from BigQuery or similar columnar data warehouse technologies
🏖️ Benefits
- • Remote work arrangement with US-based contract or B2B structure
- • Opportunity to work with a global tech company serving high-impact digital health clients
- • Collaborative environment rooted in values of Integrity, Excellence, Proactivity, Innovation, and People
- • Exposure to regulated healthcare data environments and compliance frameworks
Skills & Technologies
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About IT Labs
IT Labs is a software development company specializing in custom solutions for businesses. They focus on building scalable and innovative software products, including web applications, mobile apps, and enterprise systems. Their services span the entire software development lifecycle, from initial concept and design to development, testing, deployment, and ongoing maintenance. IT Labs works with clients across various industries, helping them leverage technology to improve efficiency, drive growth, and achieve their strategic objectives. They are committed to delivering high-quality, user-centric software that meets the unique needs of each client.
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