We are seeking a Data Engineer with 5+ years of experience in data architecture, ETL, BI, and analytics. The ideal candidate should have strong problem-solving and analytical skills, experience working in fast-paced production environments, and the ability to communicate effectively with technical and non-technical stakeholders. AWS and healthcare industry experience are preferred.

Requirements

5+ years of professional software engineering experience, with a strong focus on data architecture and BI systems
Build and maintain ETL pipelines, data transformations, and data models to support reporting and analytics
Design and develop BI dashboards and reports that translate data into business insights
Strong programming skills in Python or Java
Strong relational database skills, including schema design, scalability, and SQL for querying and extracting data
Solid understanding of data concepts including ETL, data structures, metadata management, and workflow orchestration
Experience solving complex data and technology problems in production environments
Experience with AWS
Experience with Agile methodologies (Scrum, Kanban) and bug tracking tools such as JIRA
Comfortable working in a fast-paced environment with enterprise-grade release cycles and short, iterative SaaS product cycles
Healthcare industry experience, with familiarity with HIPAA, SOC, and HITRUST compliance requirements
Strong analytical skills with a detail-oriented mindset
Strong communication skills, able to translate data-driven insights and technical approaches for technical and non-technical stakeholders
B.S. in Computer Science, Engineering, or a related field

Benefits

Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work
Tax-saving initiatives such as Corporate NPS to support employees in optimising their tax benefits.
Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance
Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders
Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments.
Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value
Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution
Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build
Annual recognition programs and performance-driven awards in a truly meritocratic environment
Referral bonuses that reward you for helping grow a strong, like-minded team
A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges
A positive, people-first workplace that supports happiness, balance, and long-term growth

Data Engineer - AI-Driven Data Platforms