Software Engineer - Big Data Systems

Remote - US

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Jungle Scout

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need.

Engineering teams at Jungle Scout are constantly innovating to scale and improve how we provide actionable insights to our customers. Cobalt is one of our core SaaS products focused on providing best-in-class e-commerce data to enterprise brands. Cobalt’s data team is growing and we’re looking to add a Software Engineer to our fast-paced, customer-oriented team.

As a Software Engineer on the team, you’ll be scaling the backend data systems that power Cobalt. Cobalt is on a tremendous growth trajectory, so you’ll be laser focused on building horizontally scalable data systems that can process, aggregate, store, and serve data at 10X our current data size. You’ll also be focused on enabling and amplifying the work of other Cobalt engineering teams by raising the levels of data abstraction with microservices and APIs. The team focuses on improving internal engineering efficiencies, so our roadmap is often driven through self directed exploration from engineers.

We’re looking for a new team member that’s passionate about scalable, highly available, complex, and cloud-native data systems. We expect engineers on the team to own the entire system lifecycle, including requirements, architecture/design, implementation, testing, and launch. We’re looking for engineers that identify with Jungle Scout’s “test and iterate” culture, which is focused on driving innovation and learning through building.

What You’ll Do:

  • Build, scale, and support data systems that power Cobalt, our SaaS product that provides actionable data insights to enterprise brands.
  • Collaborate with team members and other product/engineering teams to enhance existing data collection interfaces and systems.
  • Work with members of the team to confirm system designs, data ingestion workflows, and data modeling.
  • Identify opportunities to simplify and improve our data systems so we can efficiently scale our operations as we grow.
  • Understand and solve business requirements at scale with high-quality software solutions.
  • Engage directly with end engineering users to understand their needs and improve their experience with our data systems.

Who You Are:

  • Highly proficient in at least one object-oriented language like Java, Python, or Scala. You pride yourself on writing clean, well tested, maintainable code.
  • Comfortable with complex SQL.
  • Industry experience and proficiency in building distributed data pipelines for batch and/or real-time processing.
  • Experience defining APIs that empower fast and intuitive iteration for other engineers and teams.
  • Passionate about data quality and delivering data that impact the business.
  • Experience with discovering and addressing performance issues across the whole stack, from applications to operating systems.
  • Passion for exploring new technologies and ability to learn quickly on the job.
  • Ability to thrive with ambiguity. Fuzzy requirements are more common for you than clearly defined expectations.
  • Ownership is core to how you approach your work.

Bonus Points:

  • Hands-on experience with cloud computing platforms like AWS, Azure, or GCP.
  • Experience building intuitive data models that abstract complex data relationships and business logic.
  • Experience running Spark and Hive workloads on AWS experience
  • Expert on AWS and experiencing working in a DevOps environment, where automating infrastructure with code is second hand.
  • Experience with the PostgreSQL database engine.

 

About Jungle Scout

Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $8 billion in annual Amazon revenue. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their e-commerce businesses. Jungle Scout is headquartered in Austin, Texas and supports 10 global Amazon marketplaces.

The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin, TX; Vancouver, BC; and Shenzhen, China. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space.

We offer workplace flexibility, competitive compensation packages, 401K/RRSP matching, generous vacation, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica.  Check us out! 

 

We prioritize Diversity, Equity, and Inclusion 

At Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. 

Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.

Tags: APIs AWS Azure Big Data Data pipelines DevOps E-commerce Engineering GCP Microservices Pipelines PostgreSQL Python Research Scala Spark SQL Testing

Perks/benefits: Career development Competitive pay Equity Salary bonus Startup environment Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  5  1  0

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