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Lead Data Engineer (Enterprise Platforms Technology) ( Java, Python, Scala, AWS)

2 Locations💼 Full-time💰 $197,300–$197,300🗓 2026-06-12 → 2026-07-30

Core

Design, develop, test, and support full-stack technical solutions and scalable platforms for hyper-personalized marketing messages and experiences across owned and paid Adtech channels.

Role type

Lead Data Engineer (Enterprise Platforms)

Builds

Scalable cloud-based platforms delivering omnichannel messages to millions of customers

Domain

Financial Services / Marketing Technology / Cloud Data Engineering

Deliverable

product features

Required skills

Java, Python, Scala, SQL, NoSQL databases, Cloud data warehousing (Redshift, Snowflake), Big data technologies, Real-time data streaming, UNIX/Linux shell scripting, Data modeling

Preferred skills

AI-assisted coding tools, Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark), Agile engineering practices

Technologies

AWS, Redshift, Snowflake, Kafka, Spark, Hadoop, Hive, EMR, MongoDB, Cassandra, Open Source RDBMS

Responsibilities

Collaborate with Agile teams to design and implement full-stack solutions; Work with developers experienced in machine learning and distributed microservices; Perform unit tests and conduct code reviews; Mentor other engineering community members; Deliver robust cloud-based solutions for digital product managers

Seniority

Lead, hands-on IC with mentorship responsibilities

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