Senior Data Engineer

Remote - R&D - Full-time - Senior

Glassbox is looking for a Senior Data Engineer to join our global R&D team.

We are Glassbox, and our mission is to reveal the insights that empower organizations to deliver exceptional digital customer experiences. 

We are growing and have been recognized by G2 as one of 2023's Top 100 Software Companies in the world. 

Our customers are the best of the best and include six out of the ten largest global banks, the world’s largest hotel chain, the largest healthcare and the largest telecommunications company in the U.S.

Now is the perfect time to come to Glassbox and help us accelerate our global leadership position!

If you are a dynamic, successful, experienced metrics-driven leader, Glassbox might be a great fit.

Will you join us on this journey?


What You Will Do 

  • Be part of a Data Core Team that is in charge  of implementing the data infrastructure of the organization

  • Build data architecture to support the data requirements of the system and to support long-term data strategy

  • Define, design, and implement multiple data pipelines and ETL processes

  • Develop processes and tools to monitor, analyze, maintain and improve data pipeline operation, performance, and usability

  • Work with top-notch technologies like Kafka, Spark, airflow, and Clickhouse

What You Will Need

  • 5+ years of data experience:

    • Deep understanding and experience with big data technologies such as Redshift, Hive, Presto, Clickhouse, Big query, ElasticSearch, Cassandra, etc

    • Proven experience building, optimizing, and maintaining big data pipelines using popular open-source frameworks (Kafka, Spark, Airflow, etc.)

  • 5+ years of python experience:

    • With writing and designing complex systems

    • Experience with scaled environments, performance troubleshooting, multi-threading, complex architectures

  • Experience with working in a cloud environment (AWS, GCP, Azure)


  • Independent, self-starter, and team player with excellent communication and interpersonal skills

  • Thrives and enjoys working in startups and fast-paced environment 

  • Highly motivated and enjoys working with data, infrastructure, and learning new technologies

Apply for this position

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