Manager, Data Engineering

April 5

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Logo of MyFitnessPal

MyFitnessPal

MyFitnessPal is a leading nutrition and fitness tracking application designed to help users reach their health and fitness goals. It offers an all-in-one solution for tracking food intake, exercise, and calories. With over 18 million foods in its database, MyFitnessPal allows users to track calories, macros, micronutrients, and more. The app integrates with many fitness devices to sync workouts, weight, and other health metrics. MyFitnessPal's personalized nutrition insights guide users towards building sustainable healthy habits. Available in both a free and premium version, it is praised for its user-friendly interface and effectiveness in helping users achieve weight loss and fitness objectives.

Nutrition β€’ Fitness β€’ Health β€’ Weight Loss β€’ Wellness

51 - 200 employees

Founded 2005

🧘 Wellness

πŸ‘₯ B2C

πŸ›οΈ eCommerce

πŸ’° $18M Series A on 2013-08

πŸ“‹ Description

β€’ Looking for a Manager of Data Engineering to join MyFitnessPal Data Engineering team. β€’ Promote growth of direct reports through mentorship and coaching. β€’ Develop relationships across engineering teams, project management, and product owners. β€’ Assist in design of standardization, best practices, and governance. β€’ Build and maintain pipelines using Airflow and dbt. β€’ Integrate with services and systems across MyFitnessPal engineering teams. β€’ Evaluate and improve existing pipelines, data models, and processes. β€’ Support resolution of production issues across the Data Platform stack. β€’ Engage in code-reviews, working with teammates to learn and grow.

🎯 Requirements

β€’ 6 - 8 years experience in software or data engineering and development β€’ Understanding of data modeling for analysis by business intelligence or data science teams β€’ Experience with a variety of API design patterns, such as REST β€’ Experience developing validation and data integrity frameworks β€’ Experience building high volume data pipelines for downstream analysis supporting operational indicators β€’ Experience mentoring teammates and colleagues β€’ Experience with data at scale β€’ Experience with a variety of data stores (e.g. Snowflake, MySQL, MongoDB, DynamoDB, etc.) β€’ Experience with Airflow and dbt β€’ Familiarity with AWS and/or other cloud computing platforms

πŸ–οΈ Benefits

β€’ Healthcare β€’ Parental planning β€’ Mental health benefits β€’ Annual performance bonus β€’ 401(k) plan and match β€’ Responsible time off β€’ Monthly wellness and technology allowances β€’ Volunteer days

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