Data Engineer - Remote
About The Company MyFitnessPal is a leading health and wellness platform dedicated to empowering individuals to make healthier choices through innovative tools, resources, and support systems. We believe that good health begins with what you eat and the lifestyle habits you cultivate. Our mission is to provide comprehensive solutions that help users achieve their personal health goals, whether it’s weight management, nutrition tracking, or fitness optimization. With a global user base, we leverage cutting-edge technology and data-driven insights to deliver a seamless and engaging experience. Our team is committed to fostering an inclusive, collaborative environment where innovation thrives, and every member’s contribution makes a meaningful impact on the health journeys of millions worldwide. About The Role We are seeking a highly skilled and experienced Staff Data Engineer to join the MyFitnessPal Data Engineering team. In this pivotal role, you will be responsible for designing, building, and maintaining scalable, high-throughput, event-driven data services and orchestration pipelines that support our analytics and product insights at scale. You will play a critical role in shaping our data platform architecture, modernizing legacy pipelines, and ensuring the security and efficiency of our data infrastructure. As a senior member of the team, you will lead cross-functional initiatives, define engineering standards, and mentor junior engineers. Your expertise will directly influence the quality, reliability, and performance of our data systems, enabling data-driven decision-making across the organization. You will also collaborate closely with product, engineering, and data science teams to develop innovative solutions, implement best practices, and foster a culture of continuous improvement and learning. Qualifications 8 - 12+ years of experience in engineering roles, including 3 - 5+ years in senior, architect, or staff-level data engineering positions Extensive experience with Snowflake or similar cloud data warehouses Proficiency with a variety of data stores such as RDS, MySQL, MongoDB, DynamoDB, Redis, S3 Advanced SQL skills, including writing and optimizing complex queries on large-scale datasets Hands-on experience with Airflow or similar orchestration tools Strong programming skills in Python for developing high-throughput services Experience with event-driven architecture, including CDC and distributed streaming platforms like Kafka Knowledge of API design patterns such as REST and SOAP Proficiency in data Ops practices including data modeling, CI/CD pipelines, source control, unit testing, and data validation Experience with infrastructure-as-code tools like Terraform Experience in designing or adopting AI-assisted development workflows Demonstrated ability to establish and enforce engineering standards and best practices Strong understanding of data governance, security, and compliance frameworks
Responsibilities
Design, develop, and maintain scalable, high-throughput, event-driven data pipelines and orchestration workflows using Python, Airflow, Snowflake, and related technologies Architect and evolve core platform components to support secure, extensible, and resilient data pipelines, including modernizing legacy ingestion patterns such as CDC and Kafka streaming Collaborate with teams to implement DataOps best practices, including data modeling, CI/CD, testing, and validation frameworks to ensure high data quality and consistency Define, evangelize, and enforce data engineering standards across the organization, providing guidance and review for peers’ work Lead efforts to increase automation and agentic development, incorporating AI tools and guardrails to enhance productivity and safety Shape and implement data governance strategies, ensuring safe and compliant data access via role-based controls and lifecycle management Manage cost efficiency and stewardship of Snowflake and data pipeline infrastructure, balancing performance with budget considerations Mentor and develop data engineers and analytics engineers, fostering technical growth and alignment on architectural best practices Lead cross-team initiatives to improve infrastructure, observability, and operational excellence Work closely with product and engineering teams to identify and resolve complex data challenges, ensuring robust and reliable data systems Implement monitoring, alerting, and observability practices for data pipelines and services
Benefits
Comprehensive health, dental, and vision insurance plans Retirement savings plan with employer matching Paid parental leave and fertility-related support Monthly wellness and technology allowances Flexible work hours and responsible time-off policies Volunteer days to support community engagement Access to professional development resources and mentorship programs Participation in employee recognition and reward platforms Exclusive access to MyFitnessPal Premium for health and wellness enhancement Inclusive and diverse workplace culture that values work-life balance and personal growth Equal Opportunity MyFitnessPal is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where all employees are valued and respected. We prohibit discrimination based on race, religion, military or veteran status, sex, gender, marital status, gender identity or expression, sexual orientation, national origin, age, or disability. We believe that a diverse workforce fosters innovation and drives our success. We participate in E-Verify and adhere to all applicable employment laws and regulations to ensure fairness and equal opportunity for all applicants and employees.