Spark Eighteen
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Delhi · On-site · 5-8 Yrs · Nov 1
Software Development · 51 to 200 Employees · New Delhi, India
Founded over 12 years ago with a simple belief: every ambitious vision deserves world-class technical execution. We started Spark Eighteen because we saw too many brilliant ideas fail not from lack of vision, but from inadequate technical partnership. Since our bootstrapped beginning, we've grown into the go-to technology partner for companies that think beyond just building—they build to scale, build to exit, build to transform entire industries. We've contributed over $1 billion in revenue to our clients' products and helped orchestrate successful acquisitions including Live Objects to Zuora and Glide Health to McKesson. We serve three core customer types: early-stage startups needing rapid MVP-to-market execution, growth companies scaling from Series A to acquisition, and Fortune 500 enterprises driving digital transformation. Whether it's a healthcare startup revolutionizing patient care or a fintech company reshaping financial services, we become their strategic technical co-founder—minus the equity. What sets us apart? We don't chase contracts—we build relationships. Our quality-first development philosophy means we're obsessed with creating architectures that don't just work today, but attract partnerships tomorrow. We've learned that sustainable success comes from genuine partnership, not vendor relationships. As a profitable, bootstrapped company, we've maintained our startup agility while building enterprise-grade solutions. Our team brings a global perspective from building across 20+ countries, yet we stay true to our core belief: the best technology partnerships feel less like outsourcing and more like adding the perfect technical co-founder to your team. Every partnership begins with a 2-week proof-of-concept because we believe the right technical partner can make the difference between a good product and an acquisition target.
Hiring: Engineering
What employees say
+ Good environments , Time to imporve one self
− Need lead for Data Science
More reviews on the company profile.
Interview experience · QA Lead
Their are 3 technical rounds and 1 HR round (Screening round of 30 min). My profile was being forwarded by a recruiting agency after an initial technical screening. Frankly speaking the interviewer doesn't know the param
Average difficulty · New Delhi · 2 reports
More interview insightsJob description
Overview
We are seeking a Data Engineer with 5+ years of experience in data architecture, ETL, BI, and analytics.
Responsibilities
- 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.
Qualifications
- City New Delhi
- State/Province Delhi
- Zip/Postal Code 110017
- Country India
- 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
- 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
- Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 4 November 2026
- How do I apply for Data Engineer - AI-Driven Data Platforms at Spark Eighteen?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Spark Eighteen may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - AI-Driven Data Platforms role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - AI-Driven Data Platforms remote or on-site in Delhi?
- This listing is marked on_site with location Delhi. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - AI-Driven Data Platforms role at Spark Eighteen?
- This is a mid-level Data Engineer - AI-Driven Data Platforms role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.