At Freshly, our mission is to make our customers happy, healthy and more free to pursue their passions. To get there, we need exceptionally talented, bright, and driven people. This is your chance at being part of history and future success. We are looking for a savvy Data Engineer to join our growing team of analytics experts.

You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities:

• Create and maintain optimal data pipeline architecture,Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

About You:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

About FreshlyFreshly is a weekly subscription service delivering healthy and fully prepared meals directly to a customer’s doorstep. The rotating weekly menu offers 30 different flavorful preparations and combinations that are chef-made with the highest quality, 100% all natural ingredients that meet industry leading standards. Each deliciously healthy meal is packed with key nutrients and cooked fresh to order with no artificial flavors, colors, sweeteners, refined sugars, artificial preservatives or hydrogenated oils. In addition to providing free shipping, Freshly uses advanced eco-friendly packaging technology to ensure that meals maintain freshness in transit. Freshly makes embracing a healthier lifestyle deliciously simple, one box at a time. For more information, visit www.freshly.com. Here's some recent chatter about us:WSJ - Nestle Buys Stake in Freshly, Putting Healthy Food On The Menu Fortune - Nestle Leads $77M Funding Round In Meal-Delivery Startup FreshlyTechcrunch - Nestlé leads $77M Round For Healthy Meal Startup Freshly We pride ourselves on our fast-paced and fun environment and above all value transparency, communication, and collaboration. We are always learning, growing, and taking risks – if this sounds like an environment where you would thrive, we’d love to hear from you!