About Stackline
The eCommerce platform brands trust for growth
Key Highlights
- Headquartered in Seattle, WA with offices in NYC, Minneapolis, and London
- $180 million raised in Series A funding
- 201-500 employees focused on eCommerce and analytics
- Serves major clients including HP
Stackline is a Seattle-based eCommerce platform that provides brands with a full suite of business intelligence, operational, loyalty program, and advertising tools to enhance online product sales. With $180 million in funding, Stackline serves notable clients such as HP and has grown to employ betw...
🎁 Benefits
Stackline offers a comprehensive benefits package, including best-in-class health, dental, and vision insurance, 20 days of PTO, 401K with a 4% employ...
🌟 Culture
Stackline's culture is rooted in its evolution from an advertising consultancy to a data-driven eCommerce platform, emphasizing the importance of anal...
Overview
Stackline is hiring a Data Engineer II to build high-quality, scalable data pipelines and distributed systems. You'll work with SQL, Python, and Apache Spark to analyze and optimize data processes. This position requires experience in data engineering and building data pipelines.
Job Description
Who you are
You have a strong background in data engineering, with experience building data pipelines from various sources and APIs. Your expertise in SQL and Python allows you to analyze data effectively, ensuring that business requirements are met and inconsistencies are identified and resolved. You are familiar with distributed systems and understand the importance of scalability and resilience in data architecture.
You thrive in collaborative environments, working closely with Data Scientists, Software Engineers, and Product Managers to drive insights and improve decision-making. Your hands-on experience with tools like Apache Spark and Airflow enables you to optimize and support current data processes efficiently. You are committed to delivering high-quality results and continuously improving data workflows.
What you'll do
As a Data Engineer II at Stackline, you will be responsible for building and maintaining scalable data pipelines that process over a billion data points each week. You will analyze data to ensure that it meets business requirements, identifying any inconsistencies and optimizing processes as needed. Your role will involve writing code and implementing solutions that enhance data ingestion and cleansing.
You will collaborate with cross-functional teams to understand their data needs and provide the necessary support to help them achieve their goals. This includes working on projects that leverage your technical skills to create actionable insights for leading consumer brands. You will also be involved in troubleshooting and resolving data-related issues, ensuring that the systems you build are robust and reliable.
What we offer
At Stackline, you will be part of a dynamic team that is dedicated to transforming the future of commerce. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in an inclusive environment that values diversity and encourages innovation. Join us in our mission to bring brands and customers closer together through data-driven insights and technology.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Stackline.
Similar Jobs You Might Like
Based on your interests and this role
Data Engineer
LendingTree is seeking a Data Engineer to join their Data Engineering team. You'll build real-time data solutions and implement high-performance data analytics using tools like Snowflake and Matillion. This role requires experience in data integration and analytics.
Data Engineer
Spotify is hiring a Data Engineer for their Financial Engineering team to build and maintain systems for accurate financial reporting and royalties. You'll work closely with backend and data engineers to support strategic products. This role requires expertise in data infrastructure and collaboration with cross-functional teams.
Data Engineer
WHOOP is hiring a Data Engineer II to design and optimize scalable data pipelines and platforms. You'll work with AWS, Snowflake, and Kafka to enhance data-driven insights. This position requires experience in building data systems at scale.