🛠 Tech Stack

💼 About This Role

You'll join a small, influential Data Engineering team to expand and optimize our high-volume, low-latency data platform. Your work will directly support product managers, engineers, and data scientists in building high-throughput data architectures and automating process improvements at scale.

🎯 What You'll Do

• Create and maintain high-throughput data platform architecture handling 100s of billions of daily events.
• Refine and assemble large, complex data sets to meet functional product and business requirements.
• Identify, design, and implement internal process improvements for automation and scalability.
• Build infrastructure for optimal extraction, transformation, and loading of data from diverse sources using Spark, EMR, Snowpark, Kafka.

📋 Requirements

• 6+ years of experience in a Data Engineer role
• Bachelor's degree in Computer Science or related Engineering field
• Expert working knowledge of Databricks/Spark and associated APIs
• Strong experience with Python, Java, or Scala and associated toolchain

✨ Nice to Have

• Streaming systems experience with Kafka, Spark Streaming, or Kafka Streams
• Experience with Snowflake/Snowpark
• Exposure to AdTech

🎁 Benefits & Perks

• 🏖️ Flexible PTO
• 🏥 Comprehensive health insurance
• 📚 Learning and development stipends
• 🍕 Team meals and social events

🚩 Heads Up

• Mentions 'Senior' in description but title says 'III' - role leveling inconsistency