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# Data Engineer

- **Company:** ESAI SOFTWARE INCORPORATED
- **Location:** Boston, MA, United States
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Agile Methodology, Big Data, BigQuery, Data Security, Distributed Systems, Data Flow Control, Apache Hadoop, Apache Hive, Java Virtual Machine (JVM), SQL Databases, Test Data, Google Cloud, Data Storage Technologies, Apache Spark, Backend, Data Analytics, Integration Frameworks, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-startus-337805757595371/

## About the Role

+ You have experience architecting and operating large data pipelines
 + You know how to work with high volume heterogeneous data with distributed systems such as Hadoop and Google Cloud Platform
 + You have experience with one or more higher-level JVM-based data processing frameworks like Beam, Dataflow, Crunch, Scalding, Storm, and Spark (not just Pig/Hive/BigQuery/other SQL-like abstractions)
 + You are knowledgeable about data modeling, data access, and data storage techniques
 + You care about agile software processes, data-driven development, reliability, and responsible experimentation
 + You are passionate about creating clean code and have a strong foundation in coding and building data pipelines
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

## Description

We are looking for a data engineer that will build data-driven solutions to deliver podcast experiences to our 170+ million active users by analysing our on-platform usage data, understanding our data from an off-platform perspective and improving the accuracy and precision of our data and related recommendations. Above all, your work will impact the way the world experiences podcasts.
WHAT YOU'LL DO

 + Continuously design, develop, and test data-driven solutions
 + Work with state-of-the-art data processing frameworks and technologies
 + Improve data quality through testing, tooling and continuously evaluating performance
 + Collaborate with backend software engineers, ML experts and others
 + Work in cross-functional agile teams to regularly experiment, iterate, and deliver on new product objectives with an end-to-end responsibility for your team's mission


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