Data Engineer

Overview

Hunch is a dating app that helps you land a date without swiping like a junkie. Designed for people tired of mindless swiping and commodified matchmaking, Hunch leverages a powerful AI-engine to help users find meaningful connections by focusing on personality over just looks. With 2M+ downloads and a 4.4-star rating, Hunch is going viral in the US by challenging the swipe-left/right norm of traditional apps. Hunch is a Series A funded ($23 Million) startup building the future of social discovery in a post-AI world.

Link to our fundraising announcement

Key Offerings Of Hunch

• Swipe Less, Vibe More: Curated profiles, cutting the clutter of endless swiping.
• Personality Matters: Opinion-based, belief-based, and thought-based compatibility rather than just focusing on looks.
• Every Match, Verified: No bots, no catfishing—just real, trustworthy connections
• Match Scores: Our AI shows compatibility percentages, helping users identify their “100% vibe match.”
  
  

We're looking for a highly motivated and skilled Data Engineer. You'll design, build, and optimize our robust data infrastructure. You'll also develop scalable data pipelines, ensure data quality, and collaborate closely with our machine learning teams. We're looking for someone passionate about data who thrives in a dynamic environment. If you enjoy tackling complex challenges with cutting-edge technologies, we encourage you to apply.

What You'll Do

• Architect & Optimize Data Infrastructure: Design, implement, and maintain highly scalable data infrastructure. This includes processes for auto-scaling and easy maintainability of our data pipelines.
• Develop & Deploy Data Pipelines: Lead the design, implementation, testing, and deployment of resilient data pipelines. These pipelines will ingest, transform, and process large datasets efficiently.
• Empower ML Workflows: Partner with Machine Learning Engineers to understand their specific data needs. This includes providing high-quality data for model training and ensuring low-latency data delivery for real-time inference. Ensure seamless data flow and efficient integration with ML models.
• Ensure Data Integrity: Establish and enforce robust systems and processes. These will ensure comprehensive data quality assurance, validation, and reliability across the entire data lifecycle.
  
  

• Experience: A minimum of 2+ years of professional experience in data engineering. You should have a proven track record of delivering solutions in a production environment.
• Data Storage Expertise: Hands-on experience with relational databases (e.g., PostgreSQL, MySQL, Redshift) and cloud object storage (e.g., S3) is required. Experience with distributed file systems (e.g., HDFS) and NoSQL databases is a plus.
• Big Data Processing: Demonstrated proficiency with big data processing platforms and frameworks. Examples include Hadoop, Spark, Hive, Presto, and Trino.
• Pipeline Orchestration & Messaging: Practical experience with key data pipeline tools. This includes message queues (e.g., Kafka, Kinesis), workflow orchestrators (e.g., dbt, Airflow), change data capture (e.g., Debezium), and ETL services (e.g., AWS Glue ETL).
• Programming Prowess: Strong programming skills in Python and SQL are essential. Proficiency in at least one JVM-based language (e.g., Java, Scala) is also required.
• ML Acumen: A solid understanding of machine learning workflows. This includes data preparation and feature engineering concepts.
• Innovation & Agility: You should be a creative problem-solver. You'll need a proactive approach to experimenting with new technologies.
  
  

• Competitive financial rewards + annual PLI (Performance Linked Incentives).
• Meritocracy-driven, candid, and diverse culture.
• Employee benefits like Medical Insurance
• Although we work from our office in New Delhi, we are flexible in our style and approach
  
  

• Work Culture: At Hunch we take our work seriously but don’t take ourselves too seriously. Everyone is encouraged to think as owners and not renters, and we prefer to let builders build, empowering people to pursue independent ideas.
• Impact: Your work will shape the future of social engagement and connect people around the world.
• Collaboration: Join a diverse team of creative minds and be part of a supportive community.
• Growth: We invest in your development and provide opportunities for continuous learning.
• Backed by Global Investors: Hunch is a Series A funded startup, backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios
• Experienced Leadership: Hunch is founded by a trio of industry veterans - Ish Goel (CEO), Nitika Goel (CPO), and Kartic Rakhra (CMO) - serial entrepreneurs with the last exit from Nexus Mutual, a web3 consumer-tech startup.