Data Analytics Engineer III

At MyFitnessPal, our vision is to be the most trusted brand for improving your health through better food choices. We believe good health starts with what you eat. We provide the tools and resources to reach your weight management goals.

We are looking for a skilled Analytics Engineer to join the MyFitnessPal Data Engineering team. Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our team, you’ll have the opportunity to positively impact those users with your expertise in data modeling, governance, and backend systems. This role bridges the gap between engineering and analytics, with a focus on creating clean, reliable, and scalable data models for business intelligence and data-driven initiatives.

A critical aspect of this role is leading day-to-day efforts to ensure data quality and governance, supporting the long-term data governance strategy, and taking an engineering mindset to ad hoc analysis and investigations. As a self-starter and problem-solver, you will also collaborate with the broader Data Platform team to enhance overall capabilities and efficiency.

In addition to technical expertise, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.

What you’ll be doing: 

• Lead day-to-day efforts to ensure data quality, governance, and reliability, while driving long-term data governance strategy across the organization
• Design and implement automated data quality assurance (QA) and quality control (QC) processes to ensure accurate, consistent, and complete data, monitor data workflows and resolve anomalies or inconsistencies in production pipelines
• Develop and maintain data validation frameworks and testing strategies for pipelines and transformations, identifying and addressing issues proactively
• Conduct ad hoc analysis and investigations with an engineering mindset, delivering actionable insights to support partner stakeholder teams and cross-functional initiatives
• Work closely with the Data Platform team, contributing to the continuous improvement and scalability of the organization’s data infrastructure. Evaluate and improve existing pipelines, data models, and processes to provide more scalable and efficient solutions
• Support business teams by enabling self-service analytics and providing training on data tools and workflows. Integrate with services and systems across MyFitnessPal engineering teams to ensure a seamless flow of data. Collaborate with data scientists, analysts, and business teams to ensure data models meet analytical and operational needs
• Interact with stakeholders to define and document technical requirements for data pipelines, transformations, and integrations
• Live our core values in all you do:
• Be Kind and Care
• Live Good Health
• Be Data-Inspired
• Champion Change
• Leave it Better than You Found It
• Make It Happen

Qualifications to be successful in this role: 

• Experience with dbt and modern data modeling practices (e.g., Kimball, Inmon frameworks)
• Proven expertise in implementing and maintaining QA/QC processes for data pipelines, including automated testing and anomaly detection
• Proficiency in SQL and development languages like Python
• Ability to lead both day-to-day efforts and contribute to the long-term data governance strategy
• Strong problem-solving skills and a self-starter mindset, capable of independently driving projects to completion
• Ability to perform ad hoc analysis and data investigations with an engineering mindset, ensuring efficiency and reproducibility
• Experience with data warehouses like Snowflake or relational databases such as MySQL
• Understanding of data governance principles, including data lineage, access policies, and quality frameworks
• Experience with Airflow or similar orchestration tools for managing ETL/ELT pipelines
• Familiarity with API integration and design patterns, including REST
• Proven ability to develop scalable, high-volume data pipelines for downstream analysis and operational indicators
• Experience triaging and resolving production data issues
• Knowledge of data at scale and experience with data validation frameworks
• Familiarity with AWS or other cloud computing platforms

Preferred Skills:

• Experience with data visualization tools (e.g., Tableau, Looker, Power BI)
• Knowledge of Python frameworks for analytics engineering or automation
• Familiarity with data privacy regulations like GDPR and CCPA

Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.

The reasonably estimated salary for this role at MyFitnessPal ranges from $130,000 - $150,000. Actual compensation is based on factors such as the candidate’s skills, qualifications, and experience. In addition, MyFitnessPal offers a wide range of comprehensive and inclusive employee benefits for this role including healthcare, parental planning, mental health benefits, annual performance bonus, a 401(k) plan and match, responsible time off, monthly wellness and technology allowances, and others.