Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure.
Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates.Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.
About The Role:
Join our team as a Data Engineer and you will help leading consumer brands use data and technology to discover insights, improve decision-making and transform their businesses.Stackline is looking for a data engineer to build high-quality, scalable and resilient distributed systems. You will need to analyze data to ensure business requirements are met, identifying inconsistencies in the data and optimize/support current processes.As a Data Engineer you will need your experience building data pipelines from dozens of sources and API’s as we process, ingest and cleanse over a billion data points each week.
You will be working closely with Data Scientists, Software Engineers and Product Managers. This is a very hands-on software engineering role, where a large part of your time is spent writing code with the remainder spent on designing and architecting systems.We're looking for engineers to come in ready to design, build and deploy robust data extraction systems while trouble shooting and resolving critical infrastructure bottlenecks.Minimum Qualifications
- 4+ years experience with Python with data packages and deployment scripts.
- 3+ years working with databases such as MongoDB, Redshift, S3, Postgres, or Elasticsearch.
- 3+ years demonstrated experience designing custom ETL processes.
- 2+ years experience with Big Data technologies (Spark, Hive, Hadoop, etc.)
- Strong proficiency in TypeScript and Node.js for building scalable backend services, with knowledge of web technologies (HTML, CSS) for targeted data extraction.
- S./M.S. in Computer Science or another technical field.
Preferred Qualifications
- 3+ years of experience building, scaling and maintaining software and data infrastructure.
- Experience working with a large scale SAAS application.
- Experience with Kibana or Airflow.
- People who think big, work hard, and solve problems.
- Experience working in a startup, retail, digital advertising, or e-commerce environment.
Benefits and Perks:
It’s important that each and every employee feels they are supported and can complete their life’s best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, geographical location, and performance. The pay range for the Data Engineer II position located in Seattle is $135,000 - $165,000 per year.
Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition, we provide a robust benefits and perks package that includes:
- Comprehensive benefits plan covering medical, dental, and vision
- Fertility benefits
- Company 401k plan plus matching
- Company paid Life Insurance
- 20 days of Paid Time Off annually
- 9 Paid company holidays
- 100% Paid Parental leave - 20 weeks for birthing mothers and 12 weeks for all other parents
- Summer Fridays early close at 3pm
- Fully stocked kitchen, happy hours, and monthly catered lunches
Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. We encourage applicants from all backgrounds to apply. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
