Senior Data Engineer, Machine Learning


Job Description:Are you passionate about building tools that have an immediate impact on your customers? Ever dream about building MLOps and high throughput data pipelines? Do you want to help collect, store and manage TBs of data per day? Do you thrive when you’re contributing to a high-performing, humble team?Amazing, then you’re the type of person we’re looking for! But let’s take this a step further…Do you love challenges like building brand new eCommerce platforms for well-known marketplaces such as Walmart or developing state of the art MLOps pipelines that maintain and deploy several models every week? If so, we would love to hear from you!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 ecommerce businesses. We’re growing and we are looking to add a Senior MLOps Data Engineer to our fast-paced and customer-oriented data science teams. As part of our data science teams, you will be empowered to innovate and build tools such as sales estimates, historical trends, anomaly detections and many more that continuously serve our customers in different continents across various marketplaces such as Amazon and Walmart.Where would this person be located? Great question! We’re a remote-first company and hope to hire this ML Data Engineer anywhere between the EST – PST timezone.Interested in learning more? Let’s get into the details: What you will be doing:Architect and build. You will help collect, manage and transform data for our engineering teams to enable the development of cutting edge, data-driven features in the eCommerce spaceMachine Learning Ops. You will build and maintain the infrastructure required for end-to-end machine learning operations such as workflow scheduling, model deployment, model serving and APIs, model and data versioning and monitoring.Build and Maintain tools. You will help build and maintain various internal tools and dashboards that allow us to continually deliver high quality data to our customersEye for Detail. You’ll use your eye for details to QA the data flowing in from our various apps to ensure accuracy and completeness. You know how to design effective monitoring for high-performance systems so we can proactively tweak our applications.Make recommendations. You will play an active role in the way we make decisions around technologies to be used for new applications and improvements on existing applicationsScale, maintain, and improve. As we continue to grow, you’ll anticipate challenges before they happen by maintaining existing codebases and system infrastructures, as well as enhancing the development, staging and production environments of our applications. Participate and contribute. You’ll have an active hand in code reviews, as well as in project planning and management. You’ll also provide input for ongoing improvement of engineering practices and procedures. Passionate mentor. We are firm believers in knowledge sharing and supporting team development. You will coach other developers on programming and infrastructure best practices. If you are thinking “heck yeah!”, please read on…. Who you are:Done this before. We believe experience is best measured in results and intensity (not years), but you need to have been in this software development game a while. You also need to have experience with some subset of our primary tech stack: Python, Node, Python, Spark, Postgres, DynamoDB, Elasticsearch and Redshift.Big Data Wizard. You have real-world experience using some of the following big-data tools: Hadoop, Spark, Hudi and KafkaHeavy toolbelt. You know your way around working with SQL, know when to import a library or write code yourself for that Node project. You understand how your tools work in detail, and can show your team a thing or two.AWS Cloud master. You’re an expert with AWS services, you can deep dive on any of the following tools: EC2, RDS, DynamoDB, Elasticsearch, Step Functions, EMR, ElasticBeanstalk, Lambda, Cloudwatch, SQS and SNSMLOps experienced. You have previously managed ML models in production and have experience in some of the following: REST APIs, MLflow and Databricks, Kubeflow, Airflow, DVC, Azure Machine Learning, and Amazon Sagemaker.Working at Jungle ScoutThe BEST team. No, we aren’t being biased on this one. We truly have the best people. Time and time again, Jungle Scouters and candidates comment on how amazing the people are who work here. They are kind, passionate, smart, have integrity, and make you feel included.Remote-first culture.You choose where & how you work best whether that’s at home, in an office or out of a co-working space.Jungle Camp. The earliest Jungle Scouters were globe-hopping nomads. To maintain the culture of adventure and exploration that has built our cohesive team and strong culture, we invest in annual, all-expenses-paid retreats. Past locations include Bangkok, Vietnam, Mexico, Costa Rica, and Columbia.Access to Jungle Scout tools & experts. You will have access to thousands of dollars of Jungle Scout tools & resources. Beyond that, you’ll also be working with some Amazon-selling champions that are happy to share knowledge so you too can have a two-comma side hustle.Performance Bonus. We firmly believe you should be rewarded for CRUSHING it. There’s an annual performance bonus that is 50% employee performance and 50% company.Flexible Vacation. We offer our employees flexible vacation to take time off to explore the world, spend with their families, do a cross-country road trip, build a cabin in the woods, read and more.Comprehensive Health Benefits. The health & wellness of employees is important to us. Jungle Scout offers comprehensive health benefits to employees and their families. 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. Powered by JazzHR l0sAyfH07u Job ID: 12072448
Jungle Scout

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