eMeals is America’s leading provider of curated meal plans connecting consumers to the online grocery pickup and delivery services of Walmart, Kroger, Instacart, Shipt and Amazon. Subscribers have access to 15 food style meal plans, each with new weekly dinner ideas. Based on the selected choices, the eMeals app automatically generates a grocery list that can be shopped in store or sent for pickup or delivery by one of our integrated grocery retailers. eMeals has helped more than a million families relieve the daily stress of putting healthy home-cooked meals on the table quickly, easily and affordably. Life is hard; make dinner easy at www.emeals.com.

Over the years, eMeals has collected a lot of data about our customer lifecycle and how they interact with our apps. We are looking for someone who can perform regular analysis and develop data processing solutions.


  • Build ETL data pipelines for dashboard automation for internal business usage.
  • Perform ongoing data discovery and data mining for new information in various data sets. Apply discoveries to the reporting solution by updating existing Python ETL and database lookup tables.
  • Build automated solutions for regular reports.
  • Expand existing AWS Redshift data warehouse model to support future insights.
  • Develop AWS serverless data processing solutions using Python.
  • Manage and improve existing queries to increase accuracy, performance and readability.
  • Optimize long running queries on AWS Redshift or Aurora MySQL.

Core Skills:

  • 2+ years of experience in building data solutions and analysis using Python.
  • 2+ years of experience with SQL expertise including analytical and window functions.
  • Knowledge of data warehousing and ETL techniques.
  • Experience with data analysis including discovery, profiling, mining, cleaning and aggregating.
  • Knowledge of KPIs, measures, dimensions, parameters, filters, and aggregations.
  • AWS certification or prior experience with AWS.
  • Advanced in Microsoft Excel.

Bonus points for:

  • Experience developing in GoLang.
  • Experience using Clickstream data (Segment, Google Analytics, Adobe Analytics, etc.)
  • Experience designing and developing reports and dashboards with a data visualization tool (Tableau, Chartio, Looker, Spotfire, Power BI, Metabase, etc.)