Poshmark Logo

Poshmark

Sr. Software Engineer, Data Engineering

Reposted 23 Days Ago
In-Office
Redwood City, CA
125K-209K Annually
Senior level
In-Office
Redwood City, CA
125K-209K Annually
Senior level
The role involves building scalable data processing systems and maintaining data pipelines using big data technologies, while collaborating with other teams and managing projects.
The summary above was generated by AI

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.

  • 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. 

Salary Range:

$124,700.00 - $208,850.00 Annual

Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

View Poshmark's Job Applicant Privacy Policy here.

Top Skills

Apache Airflow
AWS
C++
Druid
Emr
Flink
Hadoop
Hbase
Hive
Java
Jenkins
Kafka
Kinesis
Mapreduce
Postgres
Python
Redshift
Scala
Spark
HQ

Poshmark Redwood, California, USA Office

203 Redwood Shores Pkwy, Redwood, CA, United States, 94065

Similar Jobs

22 Days Ago
In-Office
2 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and operate petabyte-scale data infrastructure: build high-throughput streaming pipelines, architect a tiered Data Lakehouse, automate orchestration and backfills, optimize embedded team data schemas, manage Kubernetes stateful deployments, and enforce data quality, governance, and access controls.
Top Skills: Python,Java,Scala,Spark,Flink,Kafka,Apache Iceberg,Delta Lake,Hudi,Trino,Presto,Kubernetes,Helm,Amazon S3,Elasticsearch,Opensearch,Vector
6 Days Ago
Easy Apply
Hybrid
Menlo Park, CA, USA
Easy Apply
184K-244K Annually
Senior level
184K-244K Annually
Senior level
AdTech • Cloud • Machine Learning • Mobile • Retail
Develop an ML-based online advertising platform, design data infrastructures, mentor team members, and enhance data pipelines for scalability and cost-effectiveness.
Top Skills: AWSAzureC#C++GoGCPJavaNoSQLPythonSQL
5 Days Ago
Easy Apply
In-Office
Menlo Park, CA, USA
Easy Apply
196K-230K Annually
Senior level
196K-230K Annually
Senior level
Fintech • Cryptocurrency
Build and maintain foundational datasets for data-driven decision-making, creating scalable data pipelines and collaborating across teams to enhance data models and practices.
Top Skills: AirflowPrestoPythonSparkSpark SqlSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account