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# Software Engineer, Data Engineering

- **Company:** Poshmark, Inc.
- **Location:** Redwood City, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Big Data, C++ (Programming Language), Software Quality, Information Engineering, Data Structures, Data Warehousing, Fault Tolerance, Apache Hadoop, MapReduce, Apache HBase, Apache Hive, Python (Programming Language), PostgreSQL, Object-Oriented Software Development, Software Engineering, SQL Databases, Data Processing, Apache Spark, Electronic Medical Records, Data Lakes, Druid, Apache Flink, Apache Kafka, Stream Processing, Data Pipelines, Jenkins, Amazon Redshift
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/c79e9327-f731-435c-93dc-84e7fb3f95e3

## About the Role

* 3+ years of relevant software engineering experience.
 * 2+ year of Data Engineering experience.
 * Excellent technical problem solving using data structures and algorithms, with emphasis on optimization and code quality.
 * Expertise in architecting and building large-scale data processing systems using Big Data technologies like Hadoop, Hbase, Spark, Kafka, Druid, Flink, DataLake, Redshift etc.
 * Eagerness to try out newer technologies and adopt them as and when needed.
 * Object Oriented Patterns, Scala / Java / Python / C++ / SQL / Apache Spark, Flink, Hadoop, AWS S3, Redshift / Postgresql, Kinesis, EMR, Apache Airflow, Jenkins.

## Description

* Build highly scalable, available, fault-tolerant data processing systems using AWS technologies, MapReduce, Hive, Kafka, Spark, Flink and other big data technologies to handle batch and real-time data processing over 10s of terabytes of data ingested every day and a petabyte-sized data warehouse.
 * Responsible for taking care of some of the most critical data pipelines at Poshmark.
 * Participate in architecture discussions, influence product roadmap, build best practices, take ownership and responsibility over new projects.
 * Create WBS (Work breakdown structure) for projects and execute them, taking full ownership, with minimal guidance.


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