The Role
Build and maintain ETL pipelines, data transformations, data models, BI dashboards, and reports. Design scalable relational database schemas and use Python or Java, SQL, AWS, and workflow orchestration to solve complex production data problems. Translate technical findings into business insights while collaborating with technical and non-technical stakeholders. Apply Agile practices and support enterprise and SaaS release cycles, with healthcare compliance experience preferred.
Summary Generated by Built In
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
- 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
Skills Required
- 5+ years of professional software engineering experience focused on data architecture and BI systems
- Experience building and maintaining ETL pipelines, data transformations, and data models
- Experience designing and developing BI dashboards and reports
- Strong programming skills in Python or Java
- Strong relational database skills, including schema design, scalability, SQL querying, and data extraction
- Understanding of 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 such as Scrum or Kanban and bug-tracking tools such as JIRA
- Ability to work with enterprise-grade release cycles and iterative SaaS product cycles
- Healthcare industry experience and familiarity with HIPAA, SOC, and HITRUST compliance requirements
- Strong analytical, problem-solving, communication, and detail-oriented skills
- Bachelor of Science degree in Computer Science, Engineering, or a related field
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The Company
What We Do
Spark Eighteen is a Delhi-based design and technology studio that builds scalable software products and digital solutions end to end. Its capabilities include AI and machine learning, web and application development, digital marketing, UI/UX and graphic design, content creation, and related brand-management services. The company works with founders, startups, and enterprises, combining global engineering and design talent to deliver impactful products and technology services.
