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Staff Data Engineer

MyFitnessPal

Company websitemyfitnesspal.com (MyFitnessPal, opens in new tab)

Base salary $170K  to $230K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (36 min ago) · observed since

About this job

At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals.

We are looking for a Staff Data 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 MyFitnessPal Engineering team, you’ll have the opportunity to positively impact those users with your expertise in the backend systems that drive the MyFitnessPal ecosystem. In addition to technical expertise, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.

About the team:

MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Our diverse team of brilliant technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. Technologies and languages we work with include: Airflow, Snowflake, dbt, Git Hub, PlanetScale, Elasticsearch, Scala, Python, SQL, Amplitude, Appsflyer, Kubernetes, Kafka, Docker, Okta and Claude Code. We care more about your general engineering skills and technical leadership than your knowledge of a specific language and or framework.

What you'll be doing:

  • Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines using Python, Airflow, and Snowflake, enabling reliable analytics and product insights at scale
  • Architect and evolve core platform components to ensure scalable, secure, and extensible data pipelines to support the organization, including updating ingestion patterns (CDC, Kafka event streaming) to modernize legacy pipelines.
  • Collaborate with team on development and adoption of DataOps best practices — data modeling, CI/CD, unit testing, and validation frameworks — ensuring quality and consistency across the data platform
  • Define and evangelize data engineering standards and best practices for the broader organization, reviewing work for other engineers and providing implementation guidance
  • Further our team's agentic development maturity — increasing the volume of recurring engineering work handled by agents, while prioritizing guardrails and safe AI usage as the foundation of that progress, and bringing the rest of the team along through hands-on collaboration and fostering a culture of learning
  • Help shape our data governance strategy, including how tools and AI assistants access and query our data safely and consistently
  • Own cost efficiency and stewardship for Snowflake and pipeline infrastructure, balancing performance and reliability against spend
  • Mentor data engineers and data analytics engineers, fostering technical growth and driving alignment on architectural patterns, tooling, and resilient system design
  • Lead cross-functional initiatives that span infrastructure, data services, and observability, to ensure operational excellence
  • Collaborate with product and engineering teams to proactively identify and solve complex user-facing and system-level challenges across data domains
  • Develop and maintain secure, compliant, and well-governed data systems, leveraging role-based access controls and data lifecycle management in alignment with legal, security, and data governance needs

Qualifications to be successful in this role:

  • 8 -12+ years in engineering roles, including 3 - 5+ years in data engineering at senior / architect / staff level working end-to-end data platforms
  • Extensive experience in Snowflake or similar data store
  • Experience with a variety of distributed and non-distributed, structured and unstructured data stores (e.g. RDS, MySQL, MongoDB, DynamoDB, Redis, S3)
  • Advanced SQL skills, including experience writing and optimizing complex queries against large-scale, high-cardinality datasets
  • Extensive experience with Airflow or similar orchestration tool
  • Experience writing high throughput services in Python
  • Experience with high-volume, event-driven architecture, including CDC (change-data-capture) and distributed event streaming (e.g. Kafka)
  • Experience with a variety of API design patterns ( REST, SOAP, etc)
  • Strong data ops skills including modeling, CI/CD pipelines, source control, unit testing frameworks, and data validation frameworks
  • Experience implementing observability via monitoring and alerting
  • Strong familiarity with infrastructure-as-code (e.g. Terraform)
  • Experience designing or driving adoption of agentic or AI-assisted development workflows (e.g. structured specs consumed by agents, automated test generation, agent-driven PR pipelines, skill development, AI code review)
  • Demonstrated experience defining engineering standards or best practices adopted across a team or organization, and cost-conscious ownership of infrastructure/systems

Preferred Qualifications:

  • Experience with modular modeling via dbt, including deploying semantic layer best practices
  • Experience with dataset versioning and CI enforcement
  • Experience with scaling and resilience in data pipelines 
  • Experience in high velocity experimentation organizations
  • Experience with data cataloging/governance tools (e.g. Secoda, Snowflake Horizon) and metadata stewardship programs
  • Experience building or evaluating AI-assisted internal tools with deterministic, code-level business-rule enforcement (vs. purely prompt-based vendor AI tools)
  • Experience with multi-agent orchestration or coordination patterns

Values you’ll model

  • Be Kind and Care — build with empathy; assume positive intent; support teammates and members.
  • Live Good Health — champion healthy habits and balance in how we work and what we ship.
  • Be Data-Inspired — ground decisions in research and data; measure what matters.
  • Champion Change — lean into ambiguity; iterate, learn, and improve continuously.
  • Leave it Better than You Found It — raise quality, clarify systems, and document as you go.
  • Make It Happen — bias to action; deliver impact with craft and accountability.

The reasonably estimated salary for this role at MyFitnessPal ranges from $170,000 - $230,000. 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.

Exciting Full-Time Employee Benefits, Perks and Culture

Face-to-Face Connections: We value personal connections. Enjoy opportunities to meet and connect with your team members in person to help forge meaningful relationships that extend beyond the virtual realm. Teams meet as often as needed and all of MyFitnessPal gathers annually.

Flexibility At Its Best: Achieve the work-life balance you deserve. Enjoy a flexible time-off policy with our Responsible Time Off benefit. 

Give Back: Use  your volunteer days off to support what matters most to you. Each full time teammate receives 2 days per calendar year to give back to their community through service.

Mentorship Program: Take control of your career through our mentorship program where, if you’d like, you will be matched with a teammate who can help you scale your skills and propel your growth.

Family-Friendly Support: Embrace the journey with confidence and care. Enjoy our paid maternity and paternity leave, to provide time to balance family responsibilities with your career and take the time needed to strengthen family relationships.  We understand the complexities of starting or expanding a family, which is why we provide best-in-class comprehensive assistance for fertility-related matters. 

Wellness Comes First: Live Good Health is one of our core values. Receive a monthly Wellness Allowance, empowering you to focus on your physical and mental well-being by choosing from a range of wellness initiatives, including dedicated mental health days.

Celebrate Greatness: Your hard work deserves recognition! Our reward and recognition platform empowers peers to acknowledge and reward each other for the exceptional contributions they make. 

Elevate Your Health & Fitness: Get access to MyFitnessPal Premium, allowing you to take your fitness, health and wellness journey to new heights.

Unlock Your Potential: Access our virtual learning and development library, and participate in training opportunities  to continuously grow and enhance your skills. 

Championing Inclusion: Our dedicated DEI Committee actively fosters a diverse and inclusive workplace by setting actionable goals and evaluating progress across the organization.

Healthcare Matters: Your well-being is our priority. Take advantage of our competitive medical, dental, and vision benefits that cater to your holistic healthcare needs. Feel secure and supported on your wellness journey.

Secure Your Future: Benefit from our retirement savings program, giving you peace of mind for your financial goals. Reach them sooner with MyFitnessPal’s competitive employer match.

At MyFitnessPal, our mission is to enable people to make healthy choices. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, religion, military or veteran status, sex, gender, marital status, gender identity or expression, sexual orientation, national origin, age, or disability. These are our guiding ideologies and apply across all aspects of employment.

MyFitnessPal participates in E-Verify. 

Source: MyFitnessPal on Greenhouse · View original posting (opens in new tab)

This range next to 6 other live MyFitnessPal roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live MyFitnessPal roles with the nearest advertised base floor
RolePublished base
Staff Data Engineer (this listing)$170K - $230K
Director, Product Analytics$180K - $270K
Staff Data Systems Architect$160K - $220K
Manager, Engineering - Ads$140K - $190K
Manager, Engineering - Subscription Growth$140K - $215K
Site Reliability Engineer$120K - $160K
Sr. Ad Operations Manager$110K - $160K

Same $100K to $400K scale as every card. All MyFitnessPal roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-09-10
Where this pay comes from

Location as the employer wrote it: Remote - US

The reasonably estimated salary for this role at MyFitnessPal ranges from $170,000 - $230,000. Actual compensation is based on factors such as the candid

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.