Senior Data Engineer

Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day.

Job Description:

The Big Data team is a central player in the Poshmark organization. Our mission is to build a world-class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, provide reporting and analytics self-service tools, and fuel existing and new business critical initiatives.

The Data Engineering team at Poshmark is looking for an experienced software engineer to scale Datalake, ensuring real-time access to quality data for all the stakeholders. The role provides opportunity to showcase  in-depth software development skills to build and maintain real-time and batch data pipelines with a focus on scalability and optimizations while  collaborating with Data Science, Analytics, and Platform Engineering teams to build tools to access petabyte scale data. 

Responsibilities

• 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.

 

Desired Skills & Experience

•  3+ years of relevant software engineering experience.

• 1+ 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 etc.

• Eagerness to try out  newer technologies and adopt them as and when needed.

• Object Oriented Patterns, Scala / Java / Python / C++ / SQL / Apache Spark, Hadoop, AWS S3, Redshift / Postgresql, Kinesis, EMR, Apache Airflow, Jenkins. 

Salary Range:

$125,000.00 - $177,500.00 Annual

About Us

Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion. For more information, please visit www.poshmark.com, and for company news, visit newsroom.poshmark.com.

Why Poshmark?

At Poshmark, we’re constantly challenging the status quo and are looking for innovative and passionate people to help shape the future of Poshmark. We’re disrupting the industry by combining social connections with e-commerce through data-driven solutions and the latest technology to optimize our platform. We’re nothing without our amazing team who deliver an unparalleled social shopping experience to the millions of people we connect each day.

We built Poshmark around four core values: 1) focus on people to create empowered communities that drive success; 2) together we grow to support each other to strive for our dreams; 3) lead with love to foster genuine connections built upon a foundation of respect; and 4) embrace your weirdness to accept and empower one another on their own unique journey. We’re invested in our team and community, working