Staff Data Engineer, Ghost
$180-220k
+ Equity
Inventory distribution optimization
Open for applications
Inventory distribution optimization
201-500 employees
Open for applications
$180-220k
+ Equity
201-500 employees
Company mission
To transform how inventory is bought and sold.
Role
Who you are
- Bachelor's or Master's degree in computer science, engineering, or a related field
- Experience with being an early data engineer within a fast-moving and dynamic startup environment
- 7+ years of experience in data engineering, including hands-on experience with data warehousing, ETL/ELT development, and cloud-based data platforms
- Solid expertise in SQL (e.g., PostgreSQL), relational databases, and NoSQL databases
- Experience with cloud platforms (AWS) and their data services (e.g., Snowflake, Redshift)
- Proven track record of delivering high-quality data solutions, with a focus on scalability and performance
- Excellent project management skills with experience in Agile methodologies
- Strong problem-solving abilities and attention to detail
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
What the job involves
- We are looking for a Staff Data Engineer to join our team and play a pivotal role in delivering high-quality data solutions. Our data landscape has grown organically and needs consolidation, standardization, and strategic redesign
- You’ll be leading a comprehensive overhaul of our data infrastructure, working on critical business reporting, complex data integration, data warehousing, and data modeling projects
- You are a creative, problem solver who works directly with stakeholders to leverage your expertise in reporting, data warehousing, ETL/ELT development, cloud-based data platforms, and technical solutioning
- You will aggregate our data from different sources to create dashboards that will support business strategy and growth
- Audit existing data infrastructure and create a roadmap for consolidation and modernization
- Pair with business stakeholders to derive reporting requirements
- Design and implement data integration strategies and develop efficient data pipelines to synchronize dispersed data sources
- Work with large and complex datasets, including structuring, cleaning, and transforming data
- Develop and optimize ETL/ELT processes to transform, clean, and structure large and complex datasets
- Collaborate with cross-functional product teams to understand business requirements and develop data-driven solutions
- Lead the design and implementation of scalable data models to support analytics and reporting needs
- Drive the adoption of best practices in data engineering, data governance, and data quality to ensure the integrity and reliability of our data
- Manage projects and initiatives, applying Agile methodologies to ensure timely and successful delivery of data engineering solutions
- Architect and build data warehousing solutions to ensure efficient storage and retrieval of data
- Stay updated with the latest trends and advancements in data engineering technologies, tools, and techniques, and assess their potential for enhancing our data infrastructure and capabilities
Our take
Excess inventory is one of the biggest pain points for modern retailers. Ghost solves this problem by making it easier for retailers to buy and sell excess inventory discreetly and sustainably.
With retailers wasting around $500 billion a year on excess inventory, demand for solutions like Ghost's is sky-high. The company has also made good on this demand, emerging from stealth mode in 2022 and about $66 million in funding to date. Ghost, which functions in much the same way as eBay, has benefited hugely from its founder's prior experience in the apparel industry.
Ghost's clear focus on sustainability and discretion has broad market appeal, especially for large-scale retailers looking to reduce waste and improve their public image. If Ghost can continue to attract such clients, it could scale at an impressive pace in the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Oct 2024
$40m
SERIES C
Jul 2023
$30m
SERIES B
Total funding: $88m
Company HQ
Beverly Grove, Los Angeles, CA
Leadership
Josh Kaplan
(Co-Founder & Co-CEO)Previously worked as Senior Director of UEG Ventures, and was VP of Digital at Buck Mason.
Dee Murthy
(Co-Founder)They are also the Co-Founder of Young & Reckless and Five Four Group.
Salary benchmarks
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