Job Description
- The Big Data team at Poshmark plays a central role in enabling data-driven decision makingacross the organization. Our mission is to build a world-class data platform that democratizesdata and powers key business and ML initiatives.
- We are looking for a passionate Data Engineering Intern who is eager to learn and support thedevelopment of scalable, real-time and batch data pipelines. As an intern, you will work closelywith senior engineers and contribute to building reliable data systems used across Analytics,Data Science, and Engineering teams.
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Responsibilities
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- Assist in designing and developing data pipelines for real-time and batch processing.
- Support integration of external data sources (e.g., APIs, S3 transfers, Kafka streams).
- Contribute to building ETLs using technologies like Spark, Airflow, Databricks, and AWS services.
- Help maintain Hive and Redshift tables, data workflows, and internal dashboards.
- Write clean, modular code in Python, Scala, or Ruby.
- Collaborate with cross-functional teams to understand data requirements.
- Gain experience working with large-scale datasets (terabytes to petabytes).
- Assist in monitoring and troubleshooting data pipeline issues.
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What we are looking for
- Currently pursuing a Bachelor’s in Computer Science, Engineering, Data Science, or a
- related field.
- Strong understanding of programming fundamentals (Python/Scala preferred), Computer fundamentals(Data structures, Algorithms)
- Basic knowledge of SQL and working with databases.
- Familiarity (even academic exposure) with Big Data concepts — Spark, Hadoop, Kafka, cloud services, etc.
- Interest in building scalable data systems and solving data problems.
- Good problem-solving skills and attention to detail.
- Willingness to learn, ask questions, and work in a collaborative environment.
